Install, build, run, and monitor

Install, build, and run

entity-fishing requires JDK 1.11 or higher. The official supported architecture/OS is Linux-64.

Mac OS is not officially supported. Mac OS (Intel) should nevertheless work fine, but ARM does not work. Please use a Linux-64 environment for any production works. Below, we make available the up-to-date and full binary index data for Linux-64 architecture.

Running the service requires at least 3GB of RAM for processing text inputs, but more RAM will be exploited if available for speeding up access to the compiled Wikidata and Wikipedia data (including Wikidata statements associated to entities) and for enabling high rate parallel processing. In case PDF are processed, a mimimum of 8GB is required due to additional PDF parsing and structuring requirements. For parallel processing of PDF exploiting multhreading (e.g. 10 parallel threads), 16GB is recommended.

After decompressing all the index data, up to 100 GB of disk space will be used if you wish to use all the supported languages (en, fr, de, it, es, ar, zh, ru, ja, pt, fa) - be sure to have enough free space. For running English language only, you will need around 50 GB. SSD is highly recommended for best performance and experience, in particular with a low amount of available RAM (e.g. RAM < 4GB).

First install GROBID and grobid-ner, see the relative instruction of GROBID and grobid-ner.

You need to install latest current stable version 0.7.1 of GROBID and grobid-ner. For GROBID:

Clone GROBID source code from github, latest stable version (currently 0.7.1):

$ git clone https://github.com/kermitt2/grobid.git  --branch 0.7.1

Then build Grobid, in the main directory:

$ cd grobid
$ ./gradlew clean install

The path to grobid-home shall indicated in the file data/config/mention.yaml of the entity-fishing project, for instance:

# path to the GROBID home (for grobid-ner, grobid, etc.)
grobidHome: ../grobid/grobid-home/

For grobid-ner now, under grobid/, install grobid-ner:

$ git clone https://github.com/kermitt2/grobid-ner.git

Then build grobid-ner, in the sub-project directory:

$ cd grobid-ner
$ ./gradlew copyModels
$ ./gradlew clean install

Install entity-fishing:

$ git clone https://github.com/kermitt2/entity-fishing.git

Then install the compiled indexed data:

  1. Download the zipped data files corresponding to your environment. The knowledge-base (Wikidata, db-kb) and the English Wikipedia data (db-en) must always been installed as minimal set-up. You can then add your languages of choice at the following links. Total is around 29 GB compressed, and around 90 GB uncompressed. The data for this version 0.0.6 correspond to the Wikidata and Wikipedia dumps from Jan. 2023. The Knowledge Base part contains around 96 million entities. In this available KB data file, only the statements for entities having at least one Wikipedia page in one of the 9 supported languages are loaded (it’s possible to load all of them by regenerating the KB with a dedicated parameter). The database have been migrated to Huggingface.

warning:

Only Linux is supported, MacOS is officially not supported anymore.

All the languages can be seen here.

To download them you can use git clone <link> (instruction are provided in each page):

  1. Build the project, under the entity-fishing project repository.

    $ ./gradlew clean build

    You should be now ready to run the service.

  2. Run the service:

    $ ./gradlew run

The test console is available at port :8090 by opening in your browser: http://localhost:8090

The service port, CORS parameters, and logging parameters can be configured in the file data/config/service.yaml.

For more information, see the next section on the entity-fishing Console.

Metrics and monitoring

As the server is started, the Dropwizard administrative/service console can be accessed at http://localhost:8091/ (default hostname and port)

DropWizard metrics are available at http://localhost:8091/metrics?pretty=true

Prometheus metrics (e.g. for Graphana monitoring) are available at http://localhost:8091/metrics/prometheus

Creating a new Knowledge Base version

The knowledge base used by entity-fishing can be updated with new versions of Wikidata and Wikipedia using the pre-processing from the library GRISP.

The files generated by GRISP (see listing all necessary files) should be used via the configuration:

  • dataDirectory in the files wikipedia-XY.yml (with XY equal to the language, e.g. en, fr) for the Wikipedia related knowledge base. Note: The XYwiki-latest-pages-articles-multistream.xml.bz2 can be left compressed

  • dataDirectory in the file kb.yml for the Wikidata knowledge base (db-kb)