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.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icaibd64986.2025.11082040
Primary Topic
Semantic Web and Ontologies
Type
article
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article

Automatic Mapping of Upper-Level Ontology Classes (DOLCE) and Domain-Specific Ontology ITSMO

Olga Muratovna Ataeva, Andrey Khalov
Semantic Web and Ontologies
article

Automatic Mapping of Upper-Level Ontology Classes (DOLCE) and Domain-Specific Ontology ITSMO

Olga Muratovna Ataeva, Andrey Khalov
article en

Abstract

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.

Moscow Institute of Physics and Technology (RU), Russian Academy of Natural Sciences (RU), National Research Nuclear University MEPhI (RU)
Openalex Percentile: Top 91%
Semantic Web and Ontologies
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