Knowledge Graph for he Solarchem Ontology with photocatalysis experiments.
This repository contains the resources used to build a knowledge graph containing the information about photocatalysis experiments extracted from scientific articles. The source data is extracted from the ArtLeafs Database, and enriched with papers from OpenAlex and with chemical entities from ChEBI and Wikidata. The ontology used for constructing the knowledge graph is the Solarchem Ontology.
This repository is organized as follows:
mappings/contains the RML mappings needed to construct the knowledge graph from the input data sources.notebooks/conains three notebooks, for (i) cleaning the source data, (ii) construct and enrich the knoweldge graph, and (iii) querying the knowledge graph.server-scripts/contains the code organized in scripts to execute the cleaning and preparation of data, KG construction and update of ontologies and KG in GraphDB.
The code in this repository has been tested in Python 3.9
In order to run the code, you need to either install Jupyter Notebooks to test the notebooks, or execute the scripts in server-scripts/.
pip install notebook
The requirements of the project can be installed as follos. Creating an environment is highly recommended.
pip install -r requirements.txt
Finally, start Jupyter notebook and run the notebooks in the notebooks folder.