OMNIMOD: Automating Ontology Modularization for Digital Library Data Using CIDOC-CRM as Use Case

Giulia Biagioni

2024

Abstract

This paper introduces OMNIMOD, a new method designed to modularize ontologies, RDF-based structures that organize knowledge within specialized domains. By simplifying complex information into manageable components, OMNIMOD enhances the analysis, understandability, and navigation of large ontological frameworks while also extending its functionality to include the modularization of associated data records, known as instance data. The method has been developed based on theoretical insights gathered from Cognitive Load Theory (CLT) and has been successfully tested and applied to CIDOC-CRM (Conceptual Reference Model of the International Committee for Documentation), the ISO standard for describing data related to cultural heritage materials. The accompanying Python functions, developed for OMNIMOD and provided in the corpus of the text, empower readers to adapt and utilize OMNIMOD according to their specific needs.

Paper Citation

in Harvard Style

Biagioni G. (2024). OMNIMOD: Automating Ontology Modularization for Digital Library Data Using CIDOC-CRM as Use Case. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 102-111. DOI: 10.5220/0013011200003825

in Bibtex Style

@conference{webist24,
author={Giulia Biagioni},
title={OMNIMOD: Automating Ontology Modularization for Digital Library Data Using CIDOC-CRM as Use Case},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={102-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013011200003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - OMNIMOD: Automating Ontology Modularization for Digital Library Data Using CIDOC-CRM as Use Case
SN - 978-989-758-718-4
AU - Biagioni G.
PY - 2024
SP - 102
EP - 111
DO - 10.5220/0013011200003825
PB - SciTePress