This is a web API project (with Swagger) using tada-hdt-entity and the pytada-hdt-entity libraries

Example with curl

curl --location --request POST 'https://api.tada.linkeddata.es/subject' \
--form 'col_id="1"' \
--form 'alpha="0.47"' \
--form 'dbpedia_only="true"' \
--form 'k="1"' \
--form 'source=@"t2dv2/5873256_0_7795190905731964989.csv"'

Install

1. sudo sh setup.sh
2. pip install git+https://github.com/oeg-upm/pytada-hdt-entity.git
3. pip install -r requirements.txt

Known issues

On Mac, you might face linked errors. To resolve this you can use export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/lib before running pip.

Run

python app.py you can also specify the host IP and the port e.g., python app.py 0.0.0.0 5001 To see the list of APIshttp://127.0.0.1:5001/apidocs/

Parameters and Setup

• sources.csv. This file is expected to have the following headers: id,name,type,source. The id is the one that should be unique, but it won't be visible to the users. The name is the name of the source that would be shown to the users. The type can be an HDT or SPARQL. Finally, the source is the path (in the case of HDT) or the url (in the case of SPARQL). Note that only HDT sources are supported at the moment.

To cite

@software{alobaid_ahmad_2020_3764197,
  author       = {Alobaid, Ahmad and
                  Corcho, Oscar},
  title        = {tada-web},
  month        = apr,
  year         = 2020,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.3764197},
  url          = {https://doi.org/10.5281/zenodo.3764197}
}

To run tests

1. Download the test.hdt
2. Set up environment variable test_hdt_dir to refer to the location of test.hdt (this is taken from tada-hdt-entity)
3. Run tests sh run_tests.sh

Tests cases

Test cases and files are taken from tada-hdt-entity