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Welcome to FranKGraphbench's documentation!
==================================================================================

This project is an outcome of `Google Summer of Code 2023 <https://summerofcode.withgoogle.com/programs/2023/projects/3NTZTLYb>`_
project at DBpedia, named FranKGraphBench: Knowledge Graph Aware Recommender Systems Framework for Benchmarking.

This project have two main components:

- **Data Integration**: for enriching standard Recommender Systems datasets using DBpedia.
   - As part of the Data Integration module we fixed and used the DBpedia 2016-10 core version, accessible through the endpoint `https://dbfk25.aksw.org/sparql/` and with .ttl files downloadable  `https://dbfk25.aksw.org/`.
- **Framework**: for running reproducible experiments on enriched and non-enriched datasets through a `.yml`  configuration file.


.. image:: imgs/framework.svg
   :alt: project pipeline


.. toctree::
   :maxdepth: 2
   :caption: Getting Started:

   getting_started/intro
   getting_started/quick_start
   getting_started/support
   getting_started/config

.. toctree::
   :maxdepth: 2
   :caption: Contributing:

   contributing/intro
   contributing/add_dataset
   contributing/add_recommender
   contributing/add_metric
   contributing/add_splitting
   contributing/add_preprocess
   contributing/improve_matching
   contributing/bug_fixing

.. toctree::
   :maxdepth: 2
   :caption: Benchmark Results:

   benchmark_results/results

Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`