Automatic Mapping of Upper-Level Ontology Classes (DOLCE) and Domain-Specific Ontology ITSMO
This paper proposes a method for extending the top-level ontology DOLCE (DOLCE-lite version, referred to as TLO) to the domain of IT services without expert involvement. The main challenge addressed is the automatic mapping of classes in conditions of a small number of objects (<100) and the absence of annotated data. A review of existing approaches is conducted, their limitations are identified, and novel mapping methods are proposed, integrating embeddings and large language models. The suggested method achieved an 82.35% mapping accuracy when integrating DOLCE and ITSMO ontologies. As a result, the ITO-seed ontology was developed, containing linked classes from DOLCE and ITSMO, which can be utilized in further research and in building knowledge graphs for IT Service Management (ITSM) systems.
Authors
- Olga Muratovna Ataeva (ORCID: https://orcid.org/0000-0003-0367-5575)
- Andrey Khalov (ORCID: https://orcid.org/0009-0005-4584-8245)
Institutions
- Moscow Institute of Physics and Technology (RU)
- Russian Academy of Natural Sciences (RU)
- National Research Nuclear University MEPhI (RU)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/icaibd64986.2025.11082040
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00