diff --git a/.dockerignore b/.dockerignore index c7613894..a6e04d85 100644 --- a/.dockerignore +++ b/.dockerignore @@ -1,2 +1,3 @@ -/.git -/data +.git +data +logs/* diff --git a/.gitignore b/.gitignore index 97086fc4..510fcea4 100644 --- a/.gitignore +++ b/.gitignore @@ -19,11 +19,12 @@ data/db scripts/dump.json scripts/dump.json.gz scripts/node_modules -lookup/build +build .gradle *.mdb **/node_modules/** **/out **/package-lock.json -lookup/data/db/* -pubmed-glutton/build/* +data/db/* +pubmed-glutton/* +indexing/* diff --git a/Dockerfile b/Dockerfile deleted file mode 100644 index 46d390a5..00000000 --- a/Dockerfile +++ /dev/null @@ -1,49 +0,0 @@ - -# ------------------- -# build builder image -# ------------------- -# FROM openjdk:8-jdk-stretch -FROM openjdk:8-jdk as builder - -USER root - -RUN apt-get update -#&& \ -# apt-get -y --no-install-recommends install - -WORKDIR /app/glutton-source - -RUN mkdir -p .gradle -VOLUME /app/glutton-source/.gradle - -# source -COPY lookup/ ./lookup/ -COPY indexing/ ./indexing/ - -RUN cd /app/glutton-source/lookup && ./gradlew clean assemble --no-daemon - -# ------------------- -# build runtime image -# ------------------- -FROM openjdk:8-jre-slim -RUN apt-get update -qq && apt-get -qy install curl build-essential unzip - -RUN mkdir -p /app -WORKDIR /app - -RUN apt-get update -qq && apt-get -y install nodejs npm -COPY --from=builder /app/glutton-source/indexing /app/indexing -RUN cd indexing; npm install - -COPY --from=builder /app/glutton-source/lookup/build/distributions/lookup-service-shadow-*.zip ./lookup-service.zip - -RUN unzip -o ./lookup-service.zip -d ./lookup && \ - mv ./lookup/lookup-service-* ./lookup/lookup-service - -RUN rm *.zip - -WORKDIR /app/lookup/lookup-service - -ENV JAVA_OPTS=-Xmx4g - -CMD java -jar lib/lookup-service-0.2-SNAPSHOT-onejar.jar server data/config/config.yml diff --git a/Readme.md b/Readme.md index 8e1a5c21..8498c63b 100644 --- a/Readme.md +++ b/Readme.md @@ -4,7 +4,7 @@ [![Demo cloud.science-miner.com/glutton](https://img.shields.io/website-up-down-green-red/https/cloud.science-miner.com/glutton/service/data.svg)](http://cloud.science-miner.com/glutton/service/data) [![SWH](https://archive.softwareheritage.org/badge/origin/https://github.com/kermitt2/biblio-glutton/)](https://archive.softwareheritage.org/browse/origin/?origin_url=https://github.com/kermitt2/biblio-glutton) -Framework dedicated to bibliographic information. It includes: +A framework dedicated to scientific bibliographic information. It includes: - a bibliographical reference matching service: from an input such as a raw bibliographical reference and/or a combination of key metadata, the service will return the disambiguated bibliographical object with in particular its DOI and a set of metadata aggregated from Crossref and other sources, - a fast metadata look-up service: from a "strong" identifier such as DOI, PMID, etc. the service will return a set of metadata aggregated from Crossref and other sources, @@ -13,641 +13,39 @@ Framework dedicated to bibliographic information. It includes: - Gap and daily update for Crossref resources (via the Crossref REST API), so that your glutton data service stays always in sync with Crossref, - MeSH classes mapping for PubMed articles. +biblio-glutton should be very handy if you need to run and scale a local full "Crossref" database and API, to aggregate Crossref, Pubmed and other common bibliographical records and to match a large amount of bibliographical records or raw bibliographical reference strings. + The framework is designed both for speed (with several thousands request per second for look-up) and matching accuracy. It can be [scaled](https://github.com/kermitt2/biblio-glutton#architecture) horizontally as needed and can provide high availability. Benchmarking against the Crossref REST API is presented [below](https://github.com/kermitt2/biblio-glutton#matching-accuracy). In the Glutton family, the following complementary tools are available for taking advantage of Open Access resources: -* [biblio-glutton-harvester](https://github.com/kermitt2/biblio-glutton-harvester): A robust, fault tolerant, Python utility for harvesting efficiently (multi-threaded) a large Open Access collection of PDF (Unpaywall, PubMed Central), with the possibility to upload content on Amazon S3, - * [biblio-glutton-extension](https://github.com/kermitt2/biblio-glutton-extension): A browser extension (Firefox & Chrome) for providing bibliographical services, like identifying dynamically Open Access resources on web pages and providing contextual citation services. -Current stable version of biblio-glutton is `0.2`. Working version is `0.3-SNAPSHOT`. - -## The bibliographical look-up and matching REST API - -Once the databases and index are built, the bibliographical REST API can be started. For building the databases and index, see the next sections below. - -### Build the service lookup - -You need Java JDK 1.8 installed for building and running the tool. - -```sh -cd lookup -./gradlew clean build -``` - -### Start the server - -```sh -cd lookup/ -./gradlew clean build -java -jar build/libs/lookup-service-0.2-onejar.jar server -``` +* [biblio-glutton-harvester](https://github.com/kermitt2/biblio-glutton-harvester): A robust, fault tolerant, Python utility for harvesting efficiently (multi-threaded) a large Open Access collection of PDF (Unpaywall, PubMed Central), with the possibility to upload content on Amazon S3, -The service will use the default project configuration located under `biblio-glutton/config/glutton.yml`. If you want to use a configuration file in another location, you can can specify it as additional parameter: +Current stable version of biblio-glutton is `0.3`. Working version is `0.4-SNAPSHOT`. +## Documentation -```sh -cd lookup/ -./gradlew clean build -java -jar build/libs/lookup-service-0.2-onejar.jar server /some/where/glutton.yml -``` +The full documentation is available [here](https://biblio-glutton.readthedocs.io/en/latest/), including an evaluation of the bibliographical reference matching and some expected runtime information. -To check if it works, you can view a report of the data used by the service at `host:port/service/data`. For instance: +## How to cite -> curl localhost:8080/service/data +If you want to cite this work, please refer to the present GitHub project, together with the [Software Heritage](https://www.softwareheritage.org/) project-level permanent identifier and do please indicate any author name. For example, with BibTeX: -```json -{ - "Metadata Lookup Crossref size":"{crossref_Jsondoc=127887559}", - "ISTEX size":"{istex_doi2ids=21325261, istex_istex2ids=21401494, istex_pii2ids=6954799}", - "Metadata Matching Crossref size":"127970581", - "PMID lookup size":"{pmid_doi2ids=25661624, pmid_pmc2ids=7561377, pmid_pmid2ids=33761382}", - "DOI OA size":"{unpayWall_doiOAUrl=30635446}" +```bibtex +@misc{biblio-glutton, + title = {biblio-glutton}, + url = {https://github.com/kermitt2/biblio-glutton}, + publisher = {GitHub}, + year = {2018--2024}, + archivePrefix = {swh}, + eprint = {1:dir:a5a4585625424d7c7428654dbe863837aeda8fa7} } ``` -### Start optional additional GROBID service - -biblio-glutton takes advantage of GROBID for parsing raw bibliographical references. This permits faster and more accurate bibliographical record matching. To use GROBID service: - -* first download and install GROBID as indicated in the [documentation](https://grobid.readthedocs.io/en/latest/Install-Grobid/) - -* start the service as documented [here](https://grobid.readthedocs.io/en/latest/Grobid-service/). You can change the `port` used by GROBID by updating the service config file under `grobid/grobid-home/config/grobid.yaml` - -* update if necessary the host and port information of GROBID in the biblio-glutton config file under `biblio-glutton/config/glutton.yml` (parameter `grobidPath`). - -While GROBID is not required for running biblio-glutton, in particular if it is used only for bibliographical look-up, it is recommended for performing bibliographical record matching. - - - -### REST API - -The service can be queried based on a strong identifier, likeDOI, PMID, etc. as follow: - -- match record by DOI - - `GET host:port/service/lookup?doi=DOI` - - `GET host:port/service/lookup/doi/{DOI}` - -- match record by PMID - - `GET host:port/service/lookup?pmid=PMID` - - `GET host:port/service/lookup/pmid/{PMID}` - -- match record by PMC ID - - `GET host:port/service/lookup?pmc=PMC` - - `GET host:port/service/lookup/pmc/{PMC}` - -- match record by ISTEX ID - - `GET host:port/service/lookup?istexid=ISTEXID` - - `GET host:port/service/lookup/istexid/{ISTEXID}` - -- match record by PII ID - - `GET host:port/service/lookup?pii=PII` - - `GET host:port/service/lookup/pii/{PII}` - -The service can be queried with various metadata like article title (`atitle`), first author last name (`firstAuthor`), journal title (`jtitle`), volume (`volume`), first page (`firstPage`) and publication year (`year`) - -- match record by article title and first author lastname - - `GET host:port/service/lookup?atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME` - -- match record by journal title or abbreviated title, volume and first page - - `GET host:port/service/lookup?jtitle=JOURNAL_TITLE&volume=VOLUME&firstPage=FIRST_PAGE` - -- match record by journal title or abbreviated title, volume, first page, and first author lastname - - `GET host:port/service/lookup?jtitle=JOURNAL_TITLE&volume=VOLUME&firstPage=FIRST_PAGE&firstAuthor=FIRST_AUTHOR_SURNAME` - -It's possible to query the service based on a raw citation string (`biblio`): - -- match record by raw citation string - - `GET host:port/service/lookup?biblio=BIBLIO_STRING&` - - `POST host:port/service/lookup/biblio` with `ContentType=text/plain` - -Any combinations of these metadata and full raw citation string is possible, for instance: - - - `GET host:port/service/lookup?biblio=BIBLIO_STRING&atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME` - -or: - - - `GET host:port/service/lookup?jtitle=JOURNAL_TITLE&volume=VOLUME&firstPage=FIRST_PAGE&firstAuthor=FIRST_AUTHOR_SURNAME&atitle=ARTICLE_TITLE` - -or: - - - `GET host:port/service/lookup?biblio=BIBLIO_STRING&atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME&year=YYYY` - -It is also possible to combine a strong identifier with validation metadata. In this case, if the DOI appears conflicting with the provided metadata, no results will be returned, as a way to detect invalid DOI with post-validation: - - - `GET host:port/service/lookup?doi=DOI&atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME` - -biblio-glutton will make the best use of all the parameters sent to retrieve in the fastest way a record and apply matching threshold to avoid false positive. It is advised to send __as much metadata as possible__ to try to optimize the DOI matching in term of speed and accuracy, and when possible a full raw bibliographical string. - -The more metadata are available in the query, the better. The original raw bibliographical string is also be exploited when available to control the bibliographical record matching. - -For convenience, in case you are only interested by the Open Access URL for a bibliographical object, the open Access resolver API returns the OA PDF link (URL) only via an identifier: - -- return the best Open Access URL if available - - `GET host:port/service/oa?doi=DOI` return the best Open Accss PDF url for a given DOI - - `GET host:port/service/oa?pmid=PMID` return the best Open Accss PDF url for a given PMID - - `GET host:port/service/oa?pmc=PMC` return the best Open Accss PDF url for a given PMC ID - - `GET host:port/service/oa?pii=PII` return the best Open Accss PDF url for a given PII ID - -- return the best Open Access URL and ISTEX PDF URL if available - - `GET host:port/service/oa_istex?doi=DOI` return the best Open Accss PDF url and ISTEX PDF url for a given DOI - - `GET host:port/service/oa_istex?pmid=PMID` return the best Open Accss PDF url and ISTEX PDF url for a given PMID - - `GET host:port/service/oa_istex?pmc=PMC` return the best Open Accss PDF url and ISTEX PDF url for a given PMC ID - - `GET host:port/service/oa_istex?pii=PII` return the best Open Accss PDF url and ISTEX PDF url for a given PII ID - -### cURL examples - -To illustrate the usage of the API, we provide some cURL example queries: - -Bibliographical metadata lookup by DOI: - -```sh -curl http://localhost:8080/service/lookup?doi=10.1484/J.QUAESTIO.1.103624 -``` - -Matching with title and first author lastname: - -```sh -curl "http://localhost:8080/service/lookup?atitle=Naturalizing+Intentionality+between+Philosophy+and+Brain+Science.+A+Survey+of+Methodological+and+Metaphysical+Issues&firstAuthor=Pecere" - -curl "http://localhost:8080/service/lookup?atitle=Naturalizing+Intentionality+between+Philosophy+and+Brain+Science&firstAuthor=Pecere" -``` - -Matching with raw bibliographical reference string: - -```sh -curl "http://localhost:8080/service/lookup?biblio=Baltz,+R.,+Domon,+C.,+Pillay,+D.T.N.+and+Steinmetz,+A.+(1992)+Characterization+of+a+pollen-specific+cDNA+from+sunflower+encoding+a+zinc+finger+protein.+Plant+J.+2:+713-721" -``` - -Bibliographical metadata lookup by PMID (note that only the number is expected): - -```sh -curl http://localhost:8080/service/lookup?pmid=1605817 -``` - -Bibliographical metadata lookup by PMC ID (note that the `PMC` prefix in the identifier is expected): - -```sh -curl http://localhost:8080/service/lookup?pmc=PMC1017419 -``` - -Bibliographical metadata lookup by PII ID: - -```sh -curl http://localhost:8080/service/lookup?pii= -``` - -Bibliographical metadata lookup by ISTEX ID: - -```sh -curl http://localhost:8080/service/lookup?istexid=E6CF7ECC9B002E3EA3EC590E7CC8DDBF38655723 -``` - -Open Access resolver by DOI: - -```sh -curl "http://localhost:8080/service/oa?doi=10.1038/nature12373" -``` - -Combination of Open Access resolver and ISTEX identifier by DOI: - -```sh -curl "http://localhost:8080/service/oa_istex?doi=10.1038/nature12373" -``` - -## Building the bibliographical data look-up and matching databases - -### Architecture - -Below is an overview of the biblio-glutton architecture. The biblio-glutton server manages locally high performance LMDB databases for all metadata look-up tasks (several thousand requests per second with multiple threads). For the costly metadata matching tasks, an Elasticsearch cluster is used. For scaling this sort of queries, simply add more nodes in this Elasticsearch cluster, keeping a single biblio-glutton server instance. - -![Glutton architecture](doc/glutton-architecture.png) - -#### Scaling evaluation - -1) *Metadata Lookup* - -One glutton instance: 19,792,280 DOI lookup in 3156 seconds, ~ 6270 queries per second. - -2) *Bibliographical reference matching* - -*(to be completed with more nodes!)* - -Processing time for matching 17,015 raw bibliographical reference strings to DOI: - -| number of ES cluster nodes | comment | total runtime (second) | runtime per bib. ref. (second) | queries per second | -|----|---|---|---|---| -| 1 | glutton and Elasticsearch node share the same machine | 2625 | 0.154 | 6.5 | -| 1 | glutton and Elasticsearch node on two separate machines | 1990 | 0.117 | 8.5 | -| 2 | glutton and one of the Elasticsearch node sharing the same machine | 1347 | 0.079 | 12.6 | - -Machines have the same configuration Intel i7 4-cores, 8 threads, 16GB memory, SSD, on Ubuntu 16.04. - -### Loading resources - -To set-up a functional biblio-glutton server, resources need to be loaded following these steps: - -1) Loading of a Crossref full metadata dump as embedded LMDB - -2) Loading the coverage gap between the Crossref dump and the current day (updates are then realized automatically daily as the service is up and running) in the embedded LMDB - -3) Loading the DOI to PMID and PMC ID mapping as embedded LMDB - -4) (Optional) Loading the Open Access information from an Unpaywall datset snapshot as embedded LMDB - -5) (Very optional) Loading the ISTEX ID mapping as embedded LMDB - -6) Creating the Elasticsearch index - -### Resources - -For building the database and index used by service, you will need these resources: - -* Crossref metadata dump, available: - - strongly recommended: via the [Crossref Metadata APIs Plus](https://www.crossref.org/services/metadata-delivery/plus-service/) service for a current snapshot, or - - [public Crossref dump](https://www.crossref.org/blog/new-public-data-file-120-million-metadata-records/) available with Academic Torrents (2021-01-07 for the latest version, no update in 2022 as far as we known), - - Internet Archive, see https://github.com/greenelab/crossref and for instance the latest Internet Archive Crossref [dump](https://archive.org/download/crossref_doi_dump_201909) (2019-09). - -We recommend to use a Crossref Metadata Plus snapshot in order to have a version of the Crossref metadata without large coverage gap. With the `Crossref-Plus-API-Token`, the following command for instance will download the full snapshot for the indicated year/month: - -```console -wget -c --header='Crossref-Plus-API-Token: Bearer __Crossref-Plus-API-Token-Here_' https://api.crossref.org/snapshots/monthly/YYYY/MM/all.json.tar.gz -``` - -Without Metadata Plus subscription, it's possible to use the Academic Torrents Crossref dumps. For instance, with the Linux command line `aria2` and a high speed internet connection (e.g. 500Mb/s), the dump can be downloaded in a few minutes. However, the coverage gap will be important and updating these older snapshot via the normal Crossref Web API will take an enormous amount of time. - -* DOI to PMID and PMC mapping: available at Europe PMC and regularly updated at ftp://ftp.ebi.ac.uk/pub/databases/pmc/DOI/PMID_PMCID_DOI.csv.gz, - -* optionally, but recommended, the Unpaywall dataset to get Open Access links aggregated with the bibliographical metadata, see [here](http://unpaywall.org/products/snapshot) to get the latest database snapshot. - -* optionally, usually not required, for getting ISTEX identifier information, you need to build the ISTEX ID mapping, see below. - -The bibliographical matching service uses a combination of high-performance embedded databases (LMDB), for fast look-up and cache, and Elasticsearch for blocking via text-based search. As Elasticsearch is much slower than embedded databases, it is used only when absolutely required. - -The databases and Elasticsearch index must first be built from the resource files. The full service needs around 300 GB of space for building this index and it is highly recommended to use SSD for best performance. - -### Build the embedded LMDB databases - -Resource dumps will be compiled in high performance LMDB databases. The system can read compressed (`gzip` or `.xz`) or plain text files (`json`), so in practice you do not need to uncompress anything. - -#### Build the data loader - -```sh -cd lookup -./gradlew clean build -``` - -All the following commands need to be launched under the subdirectory `lookup/`. The loading of the following database can be done in parallel. The default configuration file under `biblio-glutton/config/glutton.yml` will be used if not indicated. To use a configuration file in another location, just add the full path as additional parameter like for running the sevice. - -#### Crossref metadata - -General command line pattern: - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar crossref --input /path/to/crossref/json/file path/to/config/file/glutton.yml -``` - -Example with Crossref Metadata Plus snapshot (path to a `.tar.gz` file which archives many json files): - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar crossref --input ~/tmp/crossref_metadata_plus.tar.gz ../config/glutton.yml -``` - -The last parameter is the project config file normally under `biblio-glutton/config/glutton.yml`: - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar crossref --input /path/to/crossref/json/file ../config/glutton.yml -``` - -Example with Crossref dump Academic Torrent file (path to a repository of `*.json.gz` files): - - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar crossref --input ~/tmp/crossref_public_data_file_2021_01 ../config/glutton.yml -``` - -Example with xz-compressed file (e.g. GreeneLab dump): - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar crossref --input crossref-works.2019-09-09.json.xz ../config/glutton.yml -``` - -**Note:** By default the `abstract`, the `reference` and the original `indexed` fields included in Crossref records are ignored to save some disk space. The `reference` field is particularly large as it lists all the citations for almost half of the DOI records. You can change the list of fields to be filtered out in the config file under `biblio-glutton/config/glutton.yml`, by editing the lines: - -``` -ignoreCrossRefFields: - - reference - - abstract - - indexed -``` - -Example loading the Crossref Metadata Plus snapshot of March 2022, loading time around 4 hours (dump files on slow hard drive). - -``` --- Counters -------------------------------------------------------------------- -crossrefLookup_rejectedRecords - count = 5472493 - --- Meters ---------------------------------------------------------------------- -crossrefLookup - count = 126812507 - mean rate = 11368.21 events/second - 1-minute rate = 6520.71 events/second - 5-minute rate = 6403.19 events/second - 15-minute rate = 7240.26 events/second -``` - -The 5,472,493 rejected records correspond to all the DOI "components" (given to figures, tables, etc. part of document) which are filtered out. -As a March 2022, we thus have 121,340,014 crossref article records. - - -#### Crossref metadata gap coverage - -Once the main Crossref metadata snapshot has been loaded, the metadata and index will be updated daily automatically via the Crossref web API. However, there is always a gap of coverage between the last day covered by the used large snapshot image and the start of the daily update. - -Currently new Crossref Metadata Plus snapshot are available on the 5th of every month, covering all the metadata updates for until the previous month. It means that in the best case, there will be a coverage gap of 5 days to be recovered. More generally, users of Crossref Metadata Plus snapshot can load first a snapshot of the last month, then an additional snapshot mid-month update is available with the registered content that has changed in the first half of the month. This permits to minimize the coverage gap usually to a few days. - -Using the Crossref web API to cover the remaining gap (from the latest update day in the full snapshot to the current day) is done with the following command (still under `biblio-glutton/lookup/`): - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar gap_crossref path/to/config/file/glutton.yml -``` - -For instance: - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar gap_crossref ../config/glutton.yml -``` - -Be sure to indicate in the configution file `glutton.yml` your polite usage email and/or crossref matadata plus token for using the Crossref web API. - -This command should thus be launched only one time after the loading of a full Crossref snapshot, it will resync the current metadata and index to the current day, and the daily update will then ensure everything remain in sync with the reference Crossref metadata as long the service is up and running. - -__Warning:__ If an older snapshot is used, like the Crossref dump Academic Torrent file, the coverage gap is not a few days, but usually several months or more than one year (since Crossref has not updated the Academic Torrent dump in 2022). Using the Crossweb API to cover such a long gap will unfortunately take an enormous amount of time (more than a week) due to API usage rate limitations and is likely not a acceptable solution. In addition, the Crossref web API is not always reliable, which might cause further delays. - -#### PMID and PMC ID - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar pmid --input /path/to/pmid/csv/file path/to/config/file/glutton.yml -``` - -Example: - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar pmid --input PMID_PMCID_DOI.csv.gz ../config/glutton.yml -``` - -As of March 2022, the latest mapping covers 34,310,000 PMID, with 25,661,624 having a DOI (which means 8,648,376 PMID are not represented in Crossref). - -#### OA via Unpaywall - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar unpaywall --input /path/to/unpaywall/json/file path/to/config/file/glutton.yml -``` - -Example: - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar unpaywall --input unpaywall_snapshot_2022-03-09T083001.jsonl.gz ../config/glutton.yml -``` - -As of March 2022, the Unpaywall snapshot should provide at least one Open Access link to 30,618,764 Crossref entries. - -#### ISTEX - -Note that ISTEX mapping is only relevant for ISTEX full text resource users, so only public research institutions in France. So you can generally skip this step. - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar istex --input /path/to/istex/json/file path/to/config/file/glutton.yml -``` - -Example: - -```sh -java -jar build/libs/lookup-service-0.2-onejar.jar istex --input istexIds.all.gz ../config/glutton.yml -``` - -Note: see bellow how to create this mapping file `istexIds.all.gz`. - -### Build the Elasticsearch index - -Elasticsearch `7.*` is required. `node.js` version 10 or more should work fine. - -A node.js utility under the subdirectory `indexing/` is used to build the Elasticsearch index. Indexing will take a few hours. For 116M crossref entries, the indexing takes around 6 hours (with SSD, 16GB RAM) and around 22GB of index space (per ES node if you plan to use several ES nodes). - -#### Install and configure - -You need first to install and start ElasticSearch, version `7.*`. Edit the project configuration file `biblio-glutton/config/glutton.yml` to indicate the host name and port of the Elasticsearch server. In this configuration file, it is possible to specify the name of the index ('default `crossref`) and the batch size of the bulk indexing. - -Install the node.js module: - -```sh -cd indexing/ -npm install -``` - -#### Build the index - -Usage information for indexing: - -```sh -cd biblio-glutton/indexing/ -node main -dump *PATH_TO_THE_CROSSREF_DUMP* index -``` - -Example with Crossref dump Academic Torrent file (path to a repository of `*.json.gz` files): - -```sh -node main -dump ~/tmp/crossref_public_data_file_2021_01 index -``` - -Example with Crossref Metadata Plus snapshot (path to a file `.tar.gz` which archives many json files): - -```sh -node main -dump ~/tmp/crossref_sample.tar.gz index -``` - -Example with GreeneLab/Internet Archive dump file: - -```sh -node main -dump ~/tmp/crossref-works.2019-09-09.json.xz index -``` - -Note that launching the above command will fully re-index the data, deleting existing index. The default name of the index is `crossref`, but this can be changed via the global config file `biblio-glutton/config/glutton.yml`. - -For getting health check information about the selected ElasticSearch cluster: - -```sh -node main health -``` - -Example loading the [public Crossref dump](https://www.crossref.org/blog/new-public-data-file-120-million-metadata-records/) available with Academic Torrents (2021-01-07), index on SSD, dump files on hard drive, Ubuntu 18.04, 4 cores, 16MB RAM 6 years old machine: - -- 115,972,356 indexed records (perfect match with metadata db) -- around 6:30 for indexing (working on the same time on the computer), 4797 records/s -- 25.94GB index size - -Like for the metadata database, the Crossref objects of type `component` are skipped. - -## Matching accuracy - -Here is some evaluation on the bibliographical reference matching. - -### Dataset - -We created a dataset of [17,015 bibliographical reference/DOI pairs](doc/references-doi-matching.json.gz) with GROBID and the PMC 1943 sample (a set of 1943 PubMed Central articles from 1943 different journals with both PDF and XML NLM files available, see below). For the bibliographical references present in the NLM file with a DOI, we try to align the raw reference string extracted from the PDF by GROBID and the parsed XML present in the NLM file. Raw reference string are thus coming from the PDF, and we included additional metadata as extracted by GROBID from the PDF. - -Example of the two first of the 17.015 entries: - -```json -{"reference": "Classen M, Demling L. Endoskopishe shinkterotomie der papilla \nVateri und Stein extraction aus dem Duktus Choledochus [Ger-\nman]. Dtsch Med Wochenschr. 1974;99:496-7.", "doi": "10.1055/s-0028-1107790", "pmid": "4835515", "atitle": "Endoskopishe shinkterotomie der papilla Vateri und Stein extraction aus dem Duktus Choledochus [German]", "firstAuthor": "Classen", "jtitle": "Dtsch Med Wochenschr", "volume": "99", "firstPage": "496"}, -{"reference": "Kawai K, Akasaka Y, Murakami K. Endoscopic sphincterotomy \nof the ampulla of Vater. Gastrointest Endosc. 1974;20:148-51.", "doi": "10.1016/S0016-5107(74)73914-1", "pmid": "4825160", "atitle": "Endoscopic sphincterotomy of the ampulla of Vater", "firstAuthor": "Kawai", "jtitle": "Gastrointest Endosc", "volume": "20", "firstPage": "148"}, -``` - -The goal of Glutton matching is to identify the right DOI from raw metadata. We compare the results with the Crossref REST API, using the `query.bibliographic` field for raw reference string matching, and author/title field queries for first author lastname (`query.author`) plus title matching (`query.title`). - -Limits: - -- The DOI present in the NLM files are not always reliable (e.g. DOI not valid anymore following some updates in Crossref). A large amount of the matching errors are actually not due to the matching service, but to NLM reference DOI data quality. However, errors will be the same for all matching services, so it's still valid for comparing them, although for this reason the resulting accuracy is clearly lower than what it should be. - -- GROBID extraction is not always reliable, as well the alignment mechanism with NLM (based on soft match), and some raw reference string might not be complete or include unexpected extra material from the PDF. However, this can be view as part of the matching challenge in real world conditions! - -- the NLM references with DOI are usually simpler reference than in general: there are much fewer abbreviated references (without title nor authors) and references without titles as compared to general publications from non-medicine publishers. - - - -### How to run the evaluation - -You can use the DOI matching evaluation set (with 17,015 bibliographical reference/DOI pairs) from the indicated above address ([here](doc/references-doi-matching.json.gz)) or recreate this dataset with GROBID as follow: - -- [Install GROBID](https://grobid.readthedocs.io/en/latest/Install-Grobid/). - -- Download the [PMC 1943 sample](https://grobid.s3.amazonaws.com/PMC_sample_1943.zip) (around 1.5GB in size). - -- Create the evaluation dataset: - -> ./gradlew PrepareDOIMatching -Pp2t=ABS_PATH_TO_PMC/PMC_sample_1943 - -The evaluation dataset will be saved under `ABS_PATH_TO_PMC/PMC_sample_1943` with the name `references-doi-matching.json` - -- For launching an evaluation: - -1) Select the matching method (`crossref` or `glutton`) in the `grobid-home/config/grobid.yaml` file: - -```yaml -consolidation: - # define the bibliographical data consolidation service to be used, either "crossref" for Crossref REST API or - # "glutton" for https://github.com/kermitt2/biblio-glutton - #service: "crossref" - service: "glutton" -``` - -2) If Glutton is setected, start the Glutton server as indicated above (we assume that it is running at `localhost:8080`). - -3) Launch from GROBID the evaluation, indicating the path where the evaluation dataset has been created - here we suppose that the file `references-doi-matching.json` has been saved under `ABS_PATH_TO_PMC/PMC_sample_1943`: - -> ./gradlew EvaluateDOIMatching -Pp2t=ABS_PATH_TO_PMC/PMC_sample_1943 - - -### Full raw bibliographical reference matching - -Runtime corresponds to a processing on a single machine running Glutton REST API server, Elasticsearch and GROBID evaluation with CRF for the citation model, with Crossref index dated Sept. 2021. - -``` -======= GLUTTON API ======= -17015 bibliographical references processed in 1145.593 seconds, 0.06732841610343815 seconds per bibliographical reference. -Found 16699 DOI - -precision: 97.33 -recall: 95.52 -F1-score: 96.42 -``` - -With `BiLSTM-CRF` model instead of CRF for parsing the raw references prior to matching: - -``` -======= GLUTTON API ======= - -precision: 97.34 -recall: 95.83 -f-score: 96.58 -``` - -In the case of Crossref API, we use as much as possible the concurrent queries (usually 50) allowed by the service with the GROBID Crossref multithreaded client. - -``` -======= CROSSREF API ======= - -17015 bibliographical references processed in 3057.464 seconds, 0.1797 seconds per bibliographical reference. -Found 16502 DOI - -======= CROSSREF API ======= - -precision: 97.19 -recall: 94.26 -F1-score: 95.69 -``` - -## ISTEX mapping - -If you don't know what ISTEX is, you can safely skip this section. - -### ISTEX identifier mapping - -For creating a dump of all ISTEX identifiers associated with existing identifiers (DOI, ark, PII), use the node.js script as follow: - -* install: - -```sh -cd scripts -npm install requestretry -``` - -* Generate the json dump: - -```sh -node dump-istexid-and-other-ids.js > istexIds.all -``` - -Be sure to have a good internet bandwidth for ensuring a high rate usage of the ISTEX REST API. - -You can then move the json dump (e.g. `istexIds.all`) to the Istex data path indicated in the file `config/glutton.yaml` (by default `data/istex/`). - -### ISTEX to PubMed mapping - -The mapping adds PudMed information (in particular MeSH classes) to ISTEX entries. -See the instructions [here](pubmed-glutton/Readme.md) - - ## Main authors and contact - Patrice Lopez ([@kermitt2](https://github.com/kermitt2), patrice.lopez@science-miner.com) @@ -657,3 +55,5 @@ See the instructions [here](pubmed-glutton/Readme.md) ## License Distributed under [Apache 2.0 license](http://www.apache.org/licenses/LICENSE-2.0). + +If you contribute to this project, you agree to share your contribution following this license. diff --git a/build.gradle b/build.gradle new file mode 100644 index 00000000..34a733e6 --- /dev/null +++ b/build.gradle @@ -0,0 +1,252 @@ +buildscript { + repositories { + mavenLocal() + mavenCentral() + maven { + url 'https://plugins.gradle.org/m2/' + } + } + + dependencies { + classpath 'gradle.plugin.org.kt3k.gradle.plugin:coveralls-gradle-plugin:2.12.0' + classpath "gradle.plugin.com.github.jengelman.gradle.plugins:shadow:7.0.0" + } +} + +apply plugin: 'application' +apply plugin: 'java' +apply plugin: 'java-library' +//apply plugin: 'maven' +apply plugin: 'maven-publish' +apply plugin: 'com.github.johnrengelman.shadow' + +group 'com.scienceminer.glutton' +version '0.3-SNAPSHOT' + +//sourceCompatibility = 1.8 +sourceCompatibility = 1.11 +targetCompatibility = 1.11 + +// The main class of the application +mainClassName = 'com.scienceminer.glutton.web.LookupServiceApplication' +tasks.run.workingDir = rootProject.rootDir + +repositories { + mavenLocal() + mavenCentral() +} + +sourceSets.main.resources { + srcDirs = ["src/main/resources"]; +} + +configurations { + all*.exclude group: 'org.slf4j', module: "slf4j-log4j12" + all*.exclude group: 'log4j', module: "log4j" + all*.exclude group: 'log4j2', module: "log4j2" + implementation.setCanBeResolved(true) +} + +processResources { + filesMatching('config/glutton.yml') { + filter { + it.replace('project.version', project.property('version_placeholder')) + } + } +} + +task install(dependsOn: installShadowDist) + +dependencies { + testImplementation group: 'junit', name: 'junit', version: '4.12' + testImplementation "org.hamcrest:hamcrest-all:1.3" + testImplementation "org.easymock:easymock:3.5" + + implementation "com.google.code.gson:gson:2.8.1" + + //Dropwizard + implementation 'ru.vyarus:dropwizard-guicey:7.0.0' + + implementation 'io.dropwizard:dropwizard-bom:4.0.0' + implementation 'io.dropwizard:dropwizard-core:4.0.0' + implementation 'io.dropwizard:dropwizard-assets:4.0.0' + implementation 'io.dropwizard:dropwizard-testing:4.0.0' + implementation 'io.dropwizard.modules:dropwizard-testing-junit4:4.0.0' + implementation 'io.dropwizard:dropwizard-forms:4.0.0' + implementation 'io.dropwizard:dropwizard-client:4.0.0' + implementation 'io.dropwizard:dropwizard-auth:4.0.0' + implementation 'io.dropwizard.metrics:metrics-core:4.2.22' + implementation 'io.dropwizard.metrics:metrics-servlets:4.2.22' + + implementation 'jakarta.validation:jakarta.validation-api:2.0.2' + + implementation 'org.slf4j:slf4j-api:1.7.30' + implementation 'ch.qos.logback:logback-classic:1.2.3' + implementation 'org.apache.logging.log4j:log4j-to-slf4j:2.8.2' + + implementation "com.rockymadden.stringmetric:stringmetric-core_2.10:0.27.3" + + //Parsing XML/Json + implementation group: 'org.codehaus.woodstox', name: 'stax2-api', version: '4.0.0' + implementation group: 'org.codehaus.woodstox', name: 'woodstox-core-asl', version: '4.4.1' + + implementation 'org.lmdbjava:lmdbjava:0.9.0' + implementation 'de.ruedigermoeller:fst:2.56' + implementation 'org.xerial.snappy:snappy-java:1.1.7.2' + + implementation 'org.elasticsearch.client:elasticsearch-rest-high-level-client:7.17.2' + implementation 'co.elastic.clients:elasticsearch-java:8.12.1' + implementation ('org.apache.solr:solr-solrj:9.5.0') { + exclude group: 'org.eclipse.jetty', module: 'jetty-http2' + exclude group: 'org.eclipse.jetty.http2', module: 'http2-client' + } + + implementation 'org.apache.commons:commons-collections4:4.1' + implementation 'commons-beanutils:commons-beanutils:1.9.4' + implementation 'commons-io:commons-io:2.6' + implementation group: 'org.apache.commons', name: 'commons-compress', version: '1.20' + + implementation group: 'org.tukaani', name: 'xz', version: '1.8' + + implementation "com.fasterxml.jackson.core:jackson-core:2.14.3" + implementation "com.fasterxml.jackson.core:jackson-databind:2.14.3" + implementation "com.fasterxml.jackson.module:jackson-module-afterburner:2.14.3" + implementation "com.fasterxml.jackson.dataformat:jackson-dataformat-yaml:2.14.3" + + implementation group: 'com.opencsv', name: 'opencsv', version: '5.0' +} + +distributions { + shadow { + /*contents { + from(new File(rootProject.rootDir, "data/config")) { + into "data/config" + } + }*/ + } +} + +shadowJar { + classifier = 'onejar' + mergeServiceFiles() + zip64 true + manifest { + attributes 'Main-Class': mainClassName + } + exclude("logback.xml") + duplicatesStrategy = DuplicatesStrategy.EXCLUDE +} + +distTar.enabled = false +distZip.enabled = false +shadowDistTar.enabled = false + +artifacts { + archives shadowJar +} + +// arguments for exec tasks +ext.getArg = { propName, defaultVal -> + return project.hasProperty(propName) ? project.getProperty(propName) : defaultVal; +} + +task server(dependsOn: 'classes', type: JavaExec, group: 'service') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'server', 'config/glutton.yml' + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +task crossref(dependsOn: 'classes', type: JavaExec, group: 'data') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'crossref', '--input', getArg('input', ''), getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +task gap_crossref(dependsOn: 'classes', type: JavaExec, group: 'data') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'gap_crossref', getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +task hal(dependsOn: 'classes', type: JavaExec, group: 'data') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'hal', getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +task pmid(dependsOn: 'classes', type: JavaExec, group: 'service') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'pmid', getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +task unpaywall(dependsOn: 'classes', type: JavaExec, group: 'data') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'unpaywall', '--input', getArg('input', ''), getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +task istex(dependsOn: 'classes', type: JavaExec, group: 'data') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'istex', '--input', getArg('input', ''), getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +// only used it to re-create the search index from scratch, keeping the LMDB unchanged +task index(dependsOn: 'classes', type: JavaExec, group: 'search') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'index', getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} + +// experimental +task hal_audit(dependsOn: 'classes', type: JavaExec, group: 'search') { + main = 'com.scienceminer.glutton.web.LookupServiceApplication' + classpath = sourceSets.main.runtimeClasspath + args 'hal_audit', getArg('config', 'config/glutton.yml') + if(JavaVersion.current().compareTo(JavaVersion.VERSION_1_8) > 0) { + jvmArgs '-Xmx3072m', "--add-opens", "java.base/java.nio=ALL-UNNAMED", "--add-opens", "java.base/sun.nio.ch=ALL-UNNAMED", "--add-opens", "java.base/java.text=ALL-UNNAMED", "--add-opens", "java.base/java.net=ALL-UNNAMED", "--add-opens", "java.base/java.lang=ALL-UNNAMED", "--add-opens", "java.base/java.math=ALL-UNNAMED", "--add-opens", "java.base/java.util=ALL-UNNAMED", "--add-opens", "java.base/java.util.concurrent=ALL-UNNAMED" + } else { + jvmArgs '-Xmx3072m' + } +} \ No newline at end of file diff --git a/config/elastic-settings.json b/config/elastic-settings.json new file mode 100644 index 00000000..33f7586f --- /dev/null +++ b/config/elastic-settings.json @@ -0,0 +1,110 @@ +{ + "settings": { + "index": { + "number_of_replicas": 0, + "refresh_interval": -1, + "codec": "best_compression" + }, + "analysis": { + "filter": { + "my_stop": { + "type": "stop", + "stopwords": "_english_" + + } + }, + "analyzer": { + "case_insensitive_keyword": { + "type": "custom", + "tokenizer": "keyword", + "filter": "lowercase" + }, + "case_insensitive_folding_keyword": { + "type": "custom", + "tokenizer": "keyword", + "filter": [ + "lowercase", + "asciifolding" + ] + }, + "case_insensitive_folding_text": { + "type": "custom", + "tokenizer": "standard", + "filter": [ + "lowercase", + "asciifolding" + ] + }, + "case_insensitive_folding_text_stopwords": { + "type": "custom", + "tokenizer": "standard", + "filter": [ + "lowercase", + "asciifolding", + "my_stop" + ] + } + } + } + }, + "mappings": { + "properties": { + "DOI": { + "type": "text", + "analyzer": "case_insensitive_keyword" + }, + "halId": { + "type": "text", + "analyzer": "case_insensitive_keyword" + }, + "title": { + "type": "text", + "analyzer": "case_insensitive_folding_text_stopwords" + }, + "first_author": { + "type": "text", + "analyzer": "case_insensitive_folding_keyword" + }, + "author": { + "type": "text", + "analyzer": "case_insensitive_folding_text" + }, + "first_page": { + "type": "text", + "analyzer": "case_insensitive_folding_keyword" + }, + "journal": { + "type": "text", + "analyzer": "case_insensitive_folding_text_stopwords" + }, + "abbreviated_journal": { + "type": "text", + "analyzer": "case_insensitive_folding_keyword" + }, + "volume": { + "type": "text", + "analyzer": "case_insensitive_folding_keyword" + }, + "issue": { + "type": "text", + "analyzer": "case_insensitive_folding_keyword" + }, + "year": { + "type": "text", + "analyzer": "case_insensitive_folding_keyword" + }, + "query": { + "type": "text", + "analyzer": "case_insensitive_folding_text" + }, + "bibliographic": { + "type": "text", + "analyzer": "case_insensitive_folding_text_stopwords" + }, + "type": { + "type": "text", + "analyzer": "case_insensitive_folding_text" + } + } + } +} \ No newline at end of file diff --git a/config/glutton.yml b/config/glutton.yml index 60a25381..e6d1e84b 100644 --- a/config/glutton.yml +++ b/config/glutton.yml @@ -1,18 +1,14 @@ -version: 0.2 +version: 0.3 -# where the metadata are stored, it takes more than 200GB for all Crossref, Unpaywall, PubMed and ISTEX mappings -storage: data/db -#storage: /media/lopez/T5/data/db - -# Crossref fields to be ignored when storing metadata, reference field in particular take a lot of space -ignoreCrossRefFields: - - reference - - abstract - - indexed +# where the compiled metadata are stored, it takes more than 200GB for all Crossref, Unpaywall, PubMed and ISTEX mappings, +# this is a single location for all compiled resources +#storage: data/db +#storage: /media/lopez/data2/glutton-data/data/db +storage: /media/lopez/Samsung_T515/glutton/data/db/ # batch size for preparing the data -loadingBatchSize: 10000 -indexBatchSize: 500 +storingBatchSize: 10000 +indexingBatchSize: 10000 # max blocking size (number of candidates considered for pairwise matching) blockSize: 4 @@ -24,19 +20,35 @@ timeZone: UTC # the day hour for lauching the automatic daily incremental update, format is HH:MM dailyUpdateTime: 03:00 -# a node of the elasticsearch cluster to be used and a name for the index +# define the search infrastructure to be used, possible values are "elasticSearch" or "solr" +searchEngine: elasticSearch +#searchEngine: solr + +# a node of the ElasticSearch cluster to be used and a name for the main index elastic: #host: localhost:9200 host: 0.0.0.0:9200 - index: crossref + #host: 192.168.1.30:9200 + index: glutton maxConnections: 20 +# solr settings +solr: + host: 0.0.0.0:8983 + core: glutton + proxy: # proxy to be used when doing external call to crossref or unpaywall host: port: crossref: + # Crossref fields to be ignored when storing metadata, reference field in particular takes a lot of space + ignoreCrossrefFields: + - reference + - abstract + - indexed + # a directory where the crossref incremental update files (gap or daily update) will be located # to be changed according to your storage dumpPath: /media/lopez/data2/crossref @@ -54,6 +66,25 @@ crossref: #token: "yourmysteriouscrossrefmetadataplusauthorizationtokentobeputhere" token: +# the following is used only for pubmed related enrichments and extractions +#pubmed: + # path to the medline downloaded resources, to be changed according to your storage + #pubmedDirectory: /media/lopez/data2/medline_2023 + # path to PMC mapping data + #pmcDirectory: data/pmc + # elasticsearch index for pubmed, used to create extraction based on MeSH terms + #index: pubmed + # path to the working pubmed databases, to be changed according to your storage + #dbDirectory: /media/lopez/T51/data2/db + +hal: + # OAI PMH endpoint for harvesting HAL metadata + api: "http://api.archives-ouvertes.fr/oai/hal" + +dblp: + # URL of the DBLP metadata dump + dump: "https://dblp.uni-trier.de/xml/dblp.xml.gz" + unpaywall: dumpPath: # a directory where the unpaywall update data feed change files will be located @@ -80,29 +111,44 @@ server: registerDefaultExceptionMappers: false maxThreads: 2048 maxQueuedRequests: 2048 - acceptQueueSize: 2048 - + # change the following for having all http requests logged + requestLog: + appenders: [] + +# logging: +# level: INFO +# appenders: +# - type: console +# threshold: WARN +# timeZone: UTC +# - type: file +# currentLogFilename: logs/lookup-service.log +# threshold: INFO +# archive: true +# archivedLogFilenamePattern: logs/lookup-service-%d.log +# archivedFileCount: 5 +# timeZone: UTC + +# these logging settings apply to the service usage mode logging: level: INFO + loggers: + org.glassfish.jersey.internal: "OFF" + com.squarespace.jersey2.guice.JerseyGuiceUtils: "OFF" appenders: - - type: console - threshold: INFO - timeZone: UTC - - type: file - currentLogFilename: logs/lookup-service.log - threshold: INFO - archive: true - archivedLogFilenamePattern: logs/lookup-service-%d.log - archivedFileCount: 5 - timeZone: UTC - -# the following is used only for pubmed related enrichments and extractions -pubmed: - # path to the medline resources, to be changed according to your storage - pubmedDirectory: /media/lopez/data/biblio/medline2021/ - # path to PMC mapping data - pmcDirectory: data/pmc - # elasticsearch index for pubmed, used to create extraction based on MeSH terms - index: pubmed - # path to the working pubmed databases, to be changed according to your storage - dbDirectory: /media/lopez/T5/data2/db + - type: console + threshold: INFO + timeZone: UTC + # uncomment to have the logs in json format + #layout: + # type: json + - type: file + currentLogFilename: logs/biblio-glutton.log + threshold: INFO + archive: true + archivedLogFilenamePattern: logs/biblio-glutton-%d.log + archivedFileCount: 5 + timeZone: UTC + # uncomment to have the logs in json format + #layout: + # type: json diff --git a/doc/API.md b/doc/API.md new file mode 100644 index 00000000..75684391 --- /dev/null +++ b/doc/API.md @@ -0,0 +1,134 @@ +## REST API + +The service can be queried based on a strong identifier, likeDOI, PMID, etc. as follow: + +- match record by DOI + - `GET host:port/service/lookup?doi=DOI` + - `GET host:port/service/lookup/doi/{DOI}` + +- match record by PMID + - `GET host:port/service/lookup?pmid=PMID` + - `GET host:port/service/lookup/pmid/{PMID}` + +- match record by PMC ID + - `GET host:port/service/lookup?pmc=PMC` + - `GET host:port/service/lookup/pmc/{PMC}` + +- match record by ISTEX ID + - `GET host:port/service/lookup?istexid=ISTEXID` + - `GET host:port/service/lookup/istexid/{ISTEXID}` + +- match record by PII ID + - `GET host:port/service/lookup?pii=PII` + - `GET host:port/service/lookup/pii/{PII}` + +The service can be queried with various metadata like article title (`atitle`), first author last name (`firstAuthor`), journal title (`jtitle`), volume (`volume`), first page (`firstPage`) and publication year (`year`) + +- match record by article title and first author lastname + - `GET host:port/service/lookup?atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME` + +- match record by journal title or abbreviated title, volume and first page + - `GET host:port/service/lookup?jtitle=JOURNAL_TITLE&volume=VOLUME&firstPage=FIRST_PAGE` + +- match record by journal title or abbreviated title, volume, first page, and first author lastname + - `GET host:port/service/lookup?jtitle=JOURNAL_TITLE&volume=VOLUME&firstPage=FIRST_PAGE&firstAuthor=FIRST_AUTHOR_SURNAME` + +It's possible to query the service based on a raw citation string (`biblio`): + +- match record by raw citation string + - `GET host:port/service/lookup?biblio=BIBLIO_STRING&` + - `POST host:port/service/lookup/biblio` with `ContentType=text/plain` + +Any combinations of these metadata and full raw citation string is possible, for instance: + + - `GET host:port/service/lookup?biblio=BIBLIO_STRING&atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME` + +or: + + - `GET host:port/service/lookup?jtitle=JOURNAL_TITLE&volume=VOLUME&firstPage=FIRST_PAGE&firstAuthor=FIRST_AUTHOR_SURNAME&atitle=ARTICLE_TITLE` + +or: + + - `GET host:port/service/lookup?biblio=BIBLIO_STRING&atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME&year=YYYY` + +It is also possible to combine a strong identifier with validation metadata. In this case, if the DOI appears conflicting with the provided metadata, no results will be returned, as a way to detect invalid DOI with post-validation: + + - `GET host:port/service/lookup?doi=DOI&atitle=ARTICLE_TITLE&firstAuthor=FIRST_AUTHOR_SURNAME` + +biblio-glutton will make the best use of all the parameters sent to retrieve in the fastest way a record and apply matching threashold to avoid false positive. It is advised to send __as much metadata as possible__ to try to optimize the DOI matching in term of speed and accuracy, and when possible a full raw bibliographical string. + +The more metadata are available in the query, the better. The original raw bibliographical string is also be exploited when availableto control the bibliographical record matching. + +For convenience, in case you are only interested by the Open Access URL for a bibliographical object, the open Access resolver API returns the OA PDF link (URL) only via an identifier: + +- return the best Open Access URL if available + - `GET host:port/service/oa?doi=DOI` return the best Open Accss PDF url for a given DOI + - `GET host:port/service/oa?pmid=PMID` return the best Open Accss PDF url for a given PMID + - `GET host:port/service/oa?pmc=PMC` return the best Open Accss PDF url for a given PMC ID + - `GET host:port/service/oa?pii=PII` return the best Open Accss PDF url for a given PII ID + +- return the best Open Access URL and ISTEX PDF URL if available + - `GET host:port/service/oa_istex?doi=DOI` return the best Open Accss PDF url and ISTEX PDF url for a given DOI + - `GET host:port/service/oa_istex?pmid=PMID` return the best Open Accss PDF url and ISTEX PDF url for a given PMID + - `GET host:port/service/oa_istex?pmc=PMC` return the best Open Accss PDF url and ISTEX PDF url for a given PMC ID + - `GET host:port/service/oa_istex?pii=PII` return the best Open Accss PDF url and ISTEX PDF url for a given PII ID + +## cURL examples + +To illustrate the usage of the API, we provide some cURL example queries: + +Bibliographical metadata lookup by DOI: + +```sh +curl http://localhost:8080/service/lookup?doi=10.1484/J.QUAESTIO.1.103624 +``` + +Matching with title and first authort lastname: + +```sh +curl "http://localhost:8080/service/lookup?atitle=Naturalizing+Intentionality+between+Philosophy+and+Brain+Science.+A+Survey+of+Methodological+and+Metaphysical+Issues&firstAuthor=Pecere" + +curl "http://localhost:8080/service/lookup?atitle=Naturalizing+Intentionality+between+Philosophy+and+Brain+Science&firstAuthor=Pecere" +``` + +Matching with raw bibliographical reference string: + +```sh +curl "http://localhost:8080/service/lookup?biblio=Baltz,+R.,+Domon,+C.,+Pillay,+D.T.N.+and+Steinmetz,+A.+(1992)+Characterization+of+a+pollen-specific+cDNA+from+sunflower+encoding+a+zinc+finger+protein.+Plant+J.+2:+713-721" +``` + +Bibliographical metadata lookup by PMID (note that only the number is expected): + +```sh +curl http://localhost:8080/service/lookup?pmid=1605817 +``` + +Bibliographical metadata lookup by PMC ID (note that the `PMC` prefix in the identifier is expected): + +```sh +curl http://localhost:8080/service/lookup?pmc=PMC1017419 +``` + +Bibliographical metadata lookup by PII ID: + +```sh +curl http://localhost:8080/service/lookup?pii= +``` + +Bibliographical metadata lookup by ISTEX ID: + +```sh +curl http://localhost:8080/service/lookup?istexid=E6CF7ECC9B002E3EA3EC590E7CC8DDBF38655723 +``` + +Open Access resolver by DOI: + +```sh +curl "http://localhost:8080/service/oa?doi=10.1038/nature12373" +``` + +Combination of Open Access resolver and ISTEX identifier by DOI: + +```sh +curl "http://localhost:8080/service/oa_istex?doi=10.1038/nature12373" +``` diff --git a/doc/Benchmarking.md b/doc/Benchmarking.md new file mode 100644 index 00000000..9f2daf50 --- /dev/null +++ b/doc/Benchmarking.md @@ -0,0 +1,98 @@ +## Matching accuracy + +Here is an evaluation of the bibliographical reference matching accuracy against CrossRef DOI, based on 17,015 bibliographical references. It includes a comparison with the CrossRef REST API used for the same task. + +### Dataset + +We created a dataset of [17,015 bibliographical reference/DOI pairs](doc/references-doi-matching.json.gz) with GROBID and the PMC 1943 sample (a set of 1943 PubMed Central articles from 1943 different journals with both PDF and XML NLM files available, see below). For the bibliographical references present in the NLM file with a DOI, we try to align the raw reference string extracted from the PDF by GROBID and the parsed XML present in the NLM file. Raw reference string are thus coming from the PDF, and we included additional metadata as extracted by GROBID from the PDF. + +Example of the two first of the 17.015 entries: + +```json +{"reference": "Classen M, Demling L. Endoskopishe shinkterotomie der papilla \nVateri und Stein extraction aus dem Duktus Choledochus [Ger-\nman]. Dtsch Med Wochenschr. 1974;99:496-7.", "doi": "10.1055/s-0028-1107790", "pmid": "4835515", "atitle": "Endoskopishe shinkterotomie der papilla Vateri und Stein extraction aus dem Duktus Choledochus [German]", "firstAuthor": "Classen", "jtitle": "Dtsch Med Wochenschr", "volume": "99", "firstPage": "496"}, +{"reference": "Kawai K, Akasaka Y, Murakami K. Endoscopic sphincterotomy \nof the ampulla of Vater. Gastrointest Endosc. 1974;20:148-51.", "doi": "10.1016/S0016-5107(74)73914-1", "pmid": "4825160", "atitle": "Endoscopic sphincterotomy of the ampulla of Vater", "firstAuthor": "Kawai", "jtitle": "Gastrointest Endosc", "volume": "20", "firstPage": "148"}, +``` + +The goal of Glutton matching is to identify the right DOI from raw metadata. We compare the results with the CrossRef REST API, using the `query.bibliographic` field for raw reference string matching, and author/title field queries for first author lastname (`query.author`) plus title matching (`query.title`). + +Limits: + +- The DOI present in the NLM files are not always reliable (e.g. DOI not valid anymore following some updates in CrossRef). A large amount of the matching errors are actually not due to the matching service, but to NLM reference DOI data quality. However, errors will be the same for all matching services, so it's still valid for comparing them, although for this reason the resulting accuracy is clearly lower than what it should be. + +- GROBID extraction is not always reliable, as well the alignment mechanism with NLM (based on soft match), and some raw reference string might not be complete or include unexpected extra material from the PDF. However, this can be view as part of the matching challenge in real world conditions! + +- the NLM references with DOI are usually simpler reference than in general: there are much fewer abbreviated references (without title nor authors) and references without titles as compared to general publications from non-medicine publishers. + + + +### How to run the evaluation + +You can use the DOI matching evaluation set (with 17,015 bibliographical reference/DOI pairs) from the indicated above address ([here](doc/references-doi-matching.json.gz)) or recreate this dataset with GROBID as follow: + +- [Install GROBID](https://grobid.readthedocs.io/en/latest/Install-Grobid/). + +- Download the [PMC 1943 sample](https://grobid.s3.amazonaws.com/PMC_sample_1943.zip) (around 1.5GB in size). + +- Create the evaluation dataset: + +> ./gradlew PrepareDOIMatching -Pp2t=ABS_PATH_TO_PMC/PMC_sample_1943 + +The evaluation dataset will be saved under `ABS_PATH_TO_PMC/PMC_sample_1943` with the name `references-doi-matching.json` + +- For launching an evaluation: + +1) Select the matching method (`crossref` or `glutton`) in the `grobid-home/config/grobid.yaml` file: + +```yaml +consolidation: + # define the bibliographical data consolidation service to be used, either "crossref" for CrossRef REST API or + # "glutton" for https://github.com/kermitt2/biblio-glutton + #service: "crossref" + service: "glutton" +``` + +2) If Glutton is setected, start the Glutton server as indicated above (we assume that it is running at `localhost:8080`). + +3) Launch from GROBID the evaluation, indicating the path where the evaluation dataset has been created - here we suppose that the file `references-doi-matching.json` has been saved under `ABS_PATH_TO_PMC/PMC_sample_1943`: + +> ./gradlew EvaluateDOIMatching -Pp2t=ABS_PATH_TO_PMC/PMC_sample_1943 + + +### Full raw bibliographical reference matching + +Runtime corresponds to a processing on a single machine running Glutton REST API server, ElasticSearch and GROBID evaluation with CRF for the citation model, with CrossRef index dated Sept. 2021. + +``` +======= GLUTTON API ======= +17015 bibliographical references processed in 1145.593 seconds, 0.06732841610343815 seconds per bibliographical reference. +Found 16699 DOI + +precision: 97.33 +recall: 95.52 +F1-score: 96.42 +``` + +With `BiLSTM-CRF` model instead of CRF for parsing the raw references prior to matching: + +``` +======= GLUTTON API ======= + +precision: 97.34 +recall: 95.83 +f-score: 96.58 +``` + +In the case of CrossRef API, we use as much as possible the concurrent queries (usually 50) allowed by the service with the GROBID CrossRef multithreaded client. + +``` +======= CROSSREF API ======= + +17015 bibliographical references processed in 3057.464 seconds, 0.1797 seconds per bibliographical reference. +Found 16502 DOI + +======= CROSSREF API ======= + +precision: 97.19 +recall: 94.26 +F1-score: 95.69 +``` diff --git a/doc/Build-Databases.md b/doc/Build-Databases.md new file mode 100644 index 00000000..342ca151 --- /dev/null +++ b/doc/Build-Databases.md @@ -0,0 +1,194 @@ +## Building the bibliographical data look-up and matching databases + +The loading of bibliographical metadata records and their indexing in the search cluster is done in one step. + +### Loading resources + +To set-up a functional biblio-glutton server, resources need to be loaded following these steps: + +1) Loading and indexing of a Crossref full metadata dump as embedded LMDB + +2) Loading and indexing got the coverage gap between the Crossref dump and the current day (updates are then realized automatically daily as the service is up and running) in the embedded LMDB + +3) (Optional) Loading and indexing of HAL archive metadata + +4) (Optional) Loading the DOI to PMID and PMC ID mapping (as embedded LMDB) + +5) (Optional) Loading the Open Access information from an Unpaywall datset snapshot as embedded LMDB + +6) (Very optional) Loading the ISTEX ID mapping as embedded LMDB + +It is possible to only load HAL archive metadata, skipping entirely CrossRef, but the service will be much more limited - so we suggest to always start with CrossRef. It is also possible to skip HAL archive resources. Step 4) is fast and we suggest to also always include it. + +### Resources + +For building the database and index used by service, you will need these resources: + +* CrossRef metadata dump, available at different places: + - strongly recommended: via the [Crossref Metadata APIs Plus](https://www.crossref.org/services/metadata-delivery/plus-service/) service for a current snapshot, or + - [public CrossRef dump](https://www.crossref.org/blog/2023-public-data-file-now-available-with-new-and-improved-retrieval-options/) available with Academic Torrents (2023-05-02 for the latest version), + - not recommended: Internet Archive, see https://github.com/greenelab/crossref and for instance the latest Internet Archive CrossRef [dump](https://archive.org/download/crossref_doi_dump_201909) (2019-09). + +We recommend to use a Crossref Metadata Plus snapshot in order to have a version of the Crossref metadata without large coverage gap. With the `Crossref-Plus-API-Token`, the following command for instance will download the full snapshot for the indicated year/month: + +```console +wget -c --header='Crossref-Plus-API-Token: Bearer __Crossref-Plus-API-Token-Here_' https://api.crossref.org/snapshots/monthly/YYYY/MM/all.json.tar.gz +``` + +Without Metadata Plus subscription, it's possible to use the Academic Torrents CrossRef dumps. For instance, with the Linux command line `aria2` and a high speed internet connection (e.g. 500Mb/s), the dump can be downloaded in a few minutes. However, the coverage gap will be more important. If the difference between the release date of the public dump and the current date is important (e.g. several months), updating the older snapshot via the normal CrossRef Web API will take an enormous amount of time. + +* DOI to PMID and PMC mapping: available at Europe PMC and regularly updated at ftp://ftp.ebi.ac.uk/pub/databases/pmc/DOI/PMID_PMCID_DOI.csv.gz, + +* optionally, but recommended, the Unpaywall dataset to get Open Access links aggregated with the bibliographical metadata, see [here](http://unpaywall.org/products/snapshot) to get the latest database snapshot. + +* optionally, usually not required, for getting ISTEX identifier informations, you need to build the ISTEX ID mapping, see below. + +The bibliographical matching service uses a combination of high performance embedded databases (LMDB), for fast look-up and cache, and Elasticsearch for blocking via text-based search. As Elasticsearch is much slower than embedded databases, it is used only when absolutely required. + +The databases and elasticsearch index must first be built from the resource files. The full service needs around 300 GB of space for building these index and it is necessary to use SSD for best performance. + +### Build the embedded LMDB databases + +Resource dumps will be compiled in high performance LMDB databases. The system can read compressed (`gzip` or `.xz`) or plain text files (`json`), so in practice you do not need to uncompress anything. + +#### Build the data loader + +```sh +./gradlew clean build +``` + +All the following commands need to be launched under the project root `biblio-glutton/`. The loading of the following database can be done in parallel. The default configuration file under `biblio-glutton/config/glutton.yml` will be used. For specifying a configuration file in another location add the following argument to a task: `-Pconfig="other/config/path/glutton.yml`, for example: + +```sh +./gradlew hal -Pconfig=new_config/glutton.yml +``` + +#### CrossRef metadata + +General command line pattern: + +```sh +./gradlew crossref -Pinput=/path/to/crossref/json/file -Pconfig=path/to/config/file/glutton.yml +``` + +Example with Crossref Metadata Plus snapshot (path to a `.tar.gz` file which archives many json files, usually called `all.json.tar.gz`): + +```sh +./gradlew crossref -Pinput=../tmp/crossref_metadata_plus.tar.gz +``` + +Example with CrossRef dump Academic Torrent file (path to a repository of `*.json.gz` files): + + +```sh +./gradlew crossref -Pinput=../tmp/crossref_public_data_file_2021_01 +``` + +Example with xz-compressed file (e.g. GreeneLab dump): + +```sh +./gradlew crossref -Pinput=crossref-works.2019-09-09.json.xz +``` + +**Note:** By default the `abstract`, the `reference` and the original `indexed` fields included in CrossRef records are ignored to save some disk space. The `reference` field is particularly large as it lists all the citations for almost half of the DOI records. You can change the list of fields to be filtered out in the config file under `biblio-glutton/config/glutton.yml`, by editing the lines: + +**Note:** Crossref records of type `component` are filtered out, because they do not correspond to a document, but to a part of document (figures, tables, etc.). + +``` +ignoreCrossRefFields: + - reference + - abstract + - indexed +``` + +Example loading the Crossref Metadata Plus snapshot of March 2022, loading time around 4 hours (dump files on SSD). + +``` +-- Counters -------------------------------------------------------------------- +crossrefLookup_rejectedRecords + count = 5472493 + +-- Meters ---------------------------------------------------------------------- +crossrefLookup + count = 126812507 + mean rate = 11368.21 events/second + 1-minute rate = 6520.71 events/second + 5-minute rate = 6403.19 events/second + 15-minute rate = 7240.26 events/second +``` + +On the above example, the 5,472,493 rejected records correspond to all the DOI entries of type "components" (part of document), which are filtered out. + +As a February 2024, we have for example 146,808,255 accepted crossref records and 8,015,190 rejected component records (last indexed date in dump file is 2024-02-02). + +#### CrossRef metadata gap coverage + +Once the main Crossref metadata snapshot has been loaded, the metadata and index will be updated daily automatically via the Crossref web API. However, there is always a gap of coverage between the last day covered by the used large snapshot image and the start of the daily update. + +Currently new Crossref Metadata Plus snapshot are available on the 5th of every month, covering all the metadata updates for until the previous month. It means that in the best case, there will be a coverage gap of 5 days to be recovered. More generally, users of Crossref Metadata Plus snapshot can load first a snapshot of the last month, then an additional snapshot mid-month update is available with the registered content that has changed in the first half of the month. This permits to minimize the coverage gap usually to a few days. + +Using the Crossref web API to cover the remaining gap (from the latest update day in the full snapshot to the current day) is done with the following command (still under root project `biblio-glutton/`): + +```sh +./gradlew crossref gap_crossref +``` + +Be sure to indicate in the configution file `glutton.yml` your polite usage email and/or crossref metadata plus token for using the Crossref web API. + +This command should thus be launched only one time after the loading of a full Crossref snapshot, it will resync the current metadata and index to the current day, and the daily update will then ensure everything remain in sync with the reference Crossref metadata as long the service is up and running. + +__Warning:__ If an older snapshot is used, like the CrossRef dump Academic Torrent file, the coverage gap is not a few days, but usually several months or more than one year (since Crossref has not updated the Academic Torrent dump in 2022). Using the Crossweb API to cover such a long gap will unfortunately take an enormous amount of time (more than a week) due to API usage rate limitations and is likely not a acceptable solution. In addition, the Crossref web API is not always reliable, which might cause further delays. + +#### PMID and PMC ID + +Launch the following command and go grab a coffee: + +```sh +./gradlew pmid +``` + +As of March 2022, the latest mapping covers 34,310,000 PMID, with 25,661,624 having a DOI (which means 8,648,376 PMID are not represented in Crossref and do not have a DOI). + +#### HAL archive + +Launch the following command and go grab a lunch: + +```sh +./gradlew hal +``` + +HAL archive contains around 3.5M records, with curated metadadata. + +#### OA via Unpaywall + +Pre-requisite is to download an Unpaywall snapshot. Public snapshots were available and updated from time to time, and it might still be possile to download a fresh up-to-date snapshot when subscribing to OpenAlex Premium. Supporting OpenAlex would be of course a clear future requirement for biblio-glutton. + +The following command will load the Open Access information to biblio-glutton to enrich the response metadata records: + +```sh +./gradlew unpaywall -Pinput=/path/to/unpaywall/json/file -Pconfig=path/to/config/file/glutton.yml +``` + +Example: + +```sh +./gradlew unpaywall --input unpaywall_snapshot_2022-03-09T083001.jsonl.gz +``` + +As of March 2022, the Unpaywall snapshot should provide at least one Open Access information to 30,618,764 Crossref entries. + +#### ISTEX + +Note that ISTEX mapping is only relevant for ISTEX full text resource users, so only public research institutions in France. So you can generally skip this step. + +```sh +./gradlew istex -Pinput=/path/to/istex/json/file -Pconfig=path/to/config/file/glutton.yml +``` + +Example: + +```sh +./gradlew istex -Pinput=istexIds.all.gz +``` + +**Note:** see the [FAQ](Frequently-asked-questions.md) on how to create this mapping file `istexIds.all.gz`. diff --git a/doc/Create-Index.md b/doc/Create-Index.md new file mode 100644 index 00000000..cdc78ee2 --- /dev/null +++ b/doc/Create-Index.md @@ -0,0 +1,67 @@ +## Build the Elasticsearch index + +### Architecture + +Below is an overview of the biblio-glutton architecture. The biblio-glutton server manages locally high performance LMDB databases for all metadata look-up tasks (several thousand requests per second with multiple threads). For the costly metadata matching tasks, an Elasticsearch cluster is used. For scaling this sort of queries, simply add more nodes in this elasticsearch cluster, keepping a single biblio-glutton server instance. + +![Glutton architecture](doc/glutton-architecture.png) + +### Create the index + +Elasticsearch `7.*` is required. `node.js` version 10 or more should work fine. + +A node.js utility under the subdirectory `indexing/` is used to build the Elasticsearch index. Indexing will take a few hours. For 116M crossref entries, the indexing takes around 6 hours (with SSD, 16GB RAM) and around 22GB of index space (per ES node if you plan to use several ES nodes). + +#### Install and configure + +You need first to install and start ElasticSearch, version `7.*`. Edit the project configuration file `biblio-glutton/config/glutton.yml` to indicate the host name and port of the Elasticsearch server. In this configuration file, it is possible to specify the name of the index ('default `crossref`) and the batch size of the bulk indexing. + +Install the node.js module: + +```sh +cd indexing/ +npm install +``` + +#### Build the index + +Usage information for indexing: + +```sh +cd biblio-glutton/indexing/ +node main -dump *PATH_TO_THE_CROSSREF_DUMP* index +``` + +Example with CrossRef dump Academic Torrent file (path to a repository of `*.json.gz` files): + +```sh +node main -dump ~/tmp/crossref_public_data_file_2021_01 index +``` + +Example with CrossRef Metadata Plus snapshot (path to a file `.tar.gz` which archives many json files): + +```sh +node main -dump ~/tmp/crossref_sample.tar.gz index +``` + +Example with GreeneLab/Internet Archive dump file: + +```sh +node main -dump ~/tmp/crossref-works.2019-09-09.json.xz index +``` + +Note that launching the above command will fully re-index the data, deleting existing index. The default name of the index is `crossref`, but this can be changed via the global config file `biblio-glutton/config/glutton.yml`. + +For getting health check information about the selected ElasticSearch cluster: + +```sh +node main health +``` + +Example loading the [public CrossRef dump](https://www.crossref.org/blog/new-public-data-file-120-million-metadata-records/) available with Academic Torrents (2021-01-07), index on SSD, dump files on hard drive, Ubuntu 18.04, 4 cores, 16MB RAM 6 years old machine: + +- 115,972,356 indexed records (perfect match with metadata db) +- around 6:30 for indexing (working on the same time on the computer), 4797 records/s +- 25.94GB index size + +Like for the metadata database, the Crossref objects of type `component` are skipped. diff --git a/doc/Frequently-asked-questions.md b/doc/Frequently-asked-questions.md new file mode 100644 index 00000000..34d0042f --- /dev/null +++ b/doc/Frequently-asked-questions.md @@ -0,0 +1,48 @@ +## Frequently asked questions + +### How to cite this work? + +If you want to cite this work, please refer to the present GitHub project, together with the [Software Heritage](https://www.softwareheritage.org/) project-level permanent identifier and do please indicate any author name. For example, with BibTeX: + +```bibtex +@misc{biblio-glutton, + title = {biblio-glutton}, + url = {https://github.com/kermitt2/biblio-glutton}, + publisher = {GitHub}, + year = {2018--2024}, + archivePrefix = {swh}, + eprint = {1:dir:a5a4585625424d7c7428654dbe863837aeda8fa7} +} +``` + +Note: `biblio-glutton` is spelled all lower case. + +### How can I add ISTEX identifier mapping? + +If you don't know what ISTEX is, you can safely skip this section. +For creating a dump of all ISTEX identifiers associated with existing identifiers (DOI, ark, PII), use the node.js script as follow: + +* install: + +```sh +cd scripts +npm install requestretry +``` + +* Generate the json dump: + +```sh +node dump-istexid-and-other-ids.js > istexIds.all +``` + +Be sure to have a good internet bandwidth for ensuring a high rate usage of the ISTEX REST API. + +You can then move the json dump (e.g. `istexIds.all`) to the Istex data path indicated in the file `config/glutton.yaml` (by default `data/istex/`). + +### ISTEX to PubMed mapping + +The mapping adds PudMed information (in particular MeSH classes) to ISTEX entries. +See the instructions [here](pubmed-glutton/Readme.md) + + + diff --git a/doc/Install.md b/doc/Install.md new file mode 100644 index 00000000..b4754489 --- /dev/null +++ b/doc/Install.md @@ -0,0 +1,80 @@ +## The bibliographical look-up and matching REST API + + +### Architecture + +Below is an overview of the biblio-glutton architecture. The biblio-glutton server manages locally high performance LMDB databases for all metadata look-up tasks (several thousand requests per second with multiple threads). For the costly metadata matching tasks, an Elasticsearch cluster is used. For scaling this sort of matching queries, simply add more nodes to this elasticsearch cluster, keepping a single biblio-glutton server instance. + +![Glutton architecture](doc/glutton-architecture.png) + +#### Runtime evaluation + +1) *Metadata Lookup* + +One glutton instance: 19,792,280 DOI lookup in 3156 seconds, ~ 6270 queries per second. + +2) *Bibliographical reference matching* + +*(to be completed with more nodes!)* + +Processing time for matching 17,015 raw bibliographical reference strings to DOI: + +| number of ES cluster nodes | comment | total runtime (second) | runtime per bib. ref. (second) | queries per second | +|----|---|---|---|---| +| 1 | glutton and Elasticsearch node share the same machine | 2625 | 0.154 | 6.5 | +| 1 | glutton and Elasticsearch node on two separate machines | 1990 | 0.117 | 8.5 | +| 2 | glutton and one of the Elasticsearch node sharing the same machine | 1347 | 0.079 | 12.6 | + +Machines have the same configuration Intel i7 4-cores, 8 threads, 16GB memory, SSD, on Ubuntu 16.04. + +The first step to deploy a biblio-glutton instance is to to create the bibliographical databases and search index, see the page [Build-Databases](Build-Databases.md) for detailed explanation. + +After installing all or a selection of bibliographical databases, the bibliographical REST API can be started. + +The following describes how to build and start the bibliographical service. + +### Build the service + +You need Java JDK 1.11 or more installed for building and running the tool. + +```sh +./gradlew clean build +``` + +### Start the server + +```sh +./gradlew server +``` + +The service will use the default project configuration located under `biblio-glutton/config/glutton.yml`. To select a configuration file in another location use the additional parameter `-Pconfig=/other/path/glutton.yml` as follow: + +```sh +./gradlew server -Pconfig=/other/path/glutton.yml +``` + +To check if it works, you can view a report of the data used by the service at `host:port/service/data`. For instance: + +> curl localhost:8080/service/data + +```json +{ + "Metadata Lookup Crossref size":"{crossref_Jsondoc=127887559}", + "ISTEX size":"{istex_doi2ids=21325261, istex_istex2ids=21401494, istex_pii2ids=6954799}", + "Metadata Matching Crossref size":"127970581", + "PMID lookup size":"{pmid_doi2ids=25661624, pmid_pmc2ids=7561377, pmid_pmid2ids=33761382}", + "DOI OA size":"{unpayWall_doiOAUrl=30635446}" +} +``` + +### Start optional additional GROBID service + +biblio-glutton takes advantage of GROBID for parsing raw bibliographical references. This permits faster and more accurate bibliographical record matching. To use GROBID service: + +* First download and install GROBID as indicated in the [documentation](https://grobid.readthedocs.io/en/latest/Install-Grobid/), normally as a docker image to take advantage of Deep Learning models for more accurate parsing of bibliographical references. + +* Start the service as documented [here](https://grobid.readthedocs.io/en/latest/Grobid-service/). You can change the `port` used by GROBID when strating the docker container, or by updating the service config file under `grobid/grobid-home/config/grobid.yaml`. + +* Update if necessary the host and port information of GROBID in the biblio-glutton config file under `biblio-glutton/config/glutton.yml` (parameter `grobidPath`). + +While GROBID is not required for running biblio-glutton, in particular if it is used only for bibliographical look-up, it is strongly recommended for performing bibliographical record matching. And vice-vera, configuration the biblio-glutton service for Grobid will provide high quality consolidation services to resolve the bibliographical references automatically extracted by Grobid. diff --git a/doc/Introduction.md b/doc/Introduction.md new file mode 100644 index 00000000..f1e0bd32 --- /dev/null +++ b/doc/Introduction.md @@ -0,0 +1,42 @@ +# biblio-glutton + +[![License](http://img.shields.io/:license-apache-blue.svg)](http://www.apache.org/licenses/LICENSE-2.0.html) +[![Demo cloud.science-miner.com/glutton](https://img.shields.io/website-up-down-green-red/https/cloud.science-miner.com/glutton/service/data.svg)](http://cloud.science-miner.com/glutton/service/data) +[![SWH](https://archive.softwareheritage.org/badge/origin/https://github.com/kermitt2/biblio-glutton/)](https://archive.softwareheritage.org/browse/origin/?origin_url=https://github.com/kermitt2/biblio-glutton) + +A framework dedicated to scientific and technical bibliographic information. It includes: + +- a bibliographical reference matching service: from an input such as a raw bibliographical reference and/or a combination of key metadata, the service will return the disambiguated bibliographical object with in particular its DOI and a set of metadata aggregated from CrossRef and other sources, +- a fast metadata look-up service: from a "strong" identifier such as DOI, PMID, etc. the service will return a set of metadata aggregated from CrossRef and other sources, +- various mapping between DOI, PMID, PMC, HAL ID, ISTEX ID and ark, integrated in the bibliographical service, +- Open Access resolver: Integration of Open Access links via the Unpaywall dataset from Impactstory, +- Gap and daily update for CrossRef resources (via the CrossRef REST API), so that your glutton data service stays always in sync with CrossRef, +- MeSH classes mapping for PubMed articles. + +biblio-glutton should be very handy if you need to run and scale a local full "Crossref" database and API, to aggregate Crossref, Pubmed, HAL and other common bibliographical records and to match a large amount of bibliographical records or raw bibliographical reference strings. + +The framework is designed both for speed (with several thousands request per second for look-up) and matching accuracy. It can be [scaled](https://github.com/kermitt2/biblio-glutton#architecture) horizontally as needed and can provide high availability. + +Benchmarking against the CrossRef REST API is presented [below](https://github.com/kermitt2/biblio-glutton#matching-accuracy). + +In the Glutton family, the following complementary tools are available for taking advantage of Open Access resources: + +* [biblio-glutton-extension](https://github.com/kermitt2/biblio-glutton-extension): A browser extension (Firefox & Chrome) for providing bibliographical services, like identifying dynamically Open Access resources on web pages and providing contextual citation services. + +* [biblio-glutton-harvester](https://github.com/kermitt2/biblio-glutton-harvester): A robust, fault tolerant, Python utility for harvesting efficiently (multi-threaded) a large Open Access collection of PDF (Unpaywall, PubMed Central), with the possibility to upload content on Amazon S3, + +Current stable version of biblio-glutton is `0.3`. Working version is `0.4-SNAPSHOT`. + +## Evaluation of bibliographical reference matching + +See [here](Benchmarking.md) on benchmarking the bibliographical reference matching. + +## Requirements + +biblio-glutton is a Java software requiring JDK 1.11 or more. + +You will need an ElasticSearch cluster to make possible bibliographical reference matching and resolution. The current version has been tested with Elasticsearch `8.*`. + +Optionally a Grobid service can be added to perform combined raw bibliographical reference string and reference resolution. Use the latest Grobid version. + +For storing the compiled metadata records, you will need a large amount of SSD space, at least 350 GB. SSD ensures fast and predictible runtime lookup based on memory paging. diff --git a/doc/License.md b/doc/License.md new file mode 100644 index 00000000..724b5d64 --- /dev/null +++ b/doc/License.md @@ -0,0 +1,11 @@ +## Main authors and contact + +- Patrice Lopez ([@kermitt2](https://github.com/kermitt2), patrice.lopez@science-miner.com) + +- Luca Foppiano ([@lfoppiano](https://github.com/lfoppiano)) + +## License + +Distributed under [Apache 2.0 license](http://www.apache.org/licenses/LICENSE-2.0). + +If you contribute to this project, you agree to share your contribution following this license. diff --git a/doc/hal-doi-missing.tsv b/doc/hal-doi-missing.tsv new file mode 100644 index 00000000..84fa5a80 --- /dev/null +++ b/doc/hal-doi-missing.tsv @@ -0,0 +1,9778 @@ +halId doi score +hal-282114 10.3934/dcdsb.2007.8.61 0.7134092064094498 +cea-00273504 10.1063/1.2814260 0.8 +cea-00273848 10.1002/pssa.200778869 0.700212262149029 +cea-00273568 10.1063/1.2837027 1.0 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