bharathmuppasani / ai-planning-ontology

A usable planning ontology and its usage in a broad set of planning datasets (IPC)

AI-Planning-Ontology

A usable planning ontology and its usage in a broad set of planning datasets (IPC)

PyLODE Documentation of the Ontology - Click Here

PURL for the ontology - https://purl.org/ai4s/ontology/planning

Contents:

1. data - contains the JSON representation of the IPC2018 domain data.
2. images - contains images of ontology and sample Knowledge Graph (KG).
3. models - contains RDF/OWL files of the ontology and the associated knowledge graph.
4. queries - contains .docx file with sample SPARQL queries performed on the KG and their results.
5. scripts - contains the scripts required
   • get_data.py - to build the JSON data file of the IPC domains from the location specified as command line argument.

     python3 .\script\get_data.py <\folder_path>

   • infuse.py - to infuse the data from JSON file into the ontology based on the relations between different entities.

     python3 .\script\infuse.py

To run the website on localhost, please install Flask and run the following command:

python3 .\scripts\website.py

Citations

If you are using our work, please cite.

@inproceedings{planning-ontology,

author = {Bharath Muppasani and Vishal Pallagani  and Biplav Srivastava  and Raghava Mutharaju},

title = {Building and using a planning ontology from past data for performance efficiency},

booktitle = {Proc. ICAPS'23 Workshop PLanning And onTology wOrkshop (PLATO)},
year = {2023},
keywords = {  Ontology, Automated Planning, Planner Improvement},
copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International}

}