City Research Online

Towards Tailoring Ontology Embeddings for Ontology Matching Tasks

Teymurova, S., Jiménez-Ruiz, E. ORCID: 0000-0002-9083-4599, Weyde, T. ORCID: 0000-0001-8028-9905 & Chen, J. (2025). Towards Tailoring Ontology Embeddings for Ontology Matching Tasks. In: CEUR Workshop Proceedings. 23rd International Semantic Web Conference (ISWC 2024), 11 Nov 2024, Baltimore, USA.

Abstract

Ontology alignment becomes crucial for achieving semantic interoperability as the multiple ontologies representing the same domain are increasing. This paper introduces OWL2Vec4OA, an enhancement of the OWL2Vec* ontology embedding system. Although OWL2Vec* is a robust method for ontology embedding, it currently lacks specialization for ontology alignment tasks. OWL2Vec4OA addresses this limitation by incorporating confidence values from seed mappings to bias its random walk approach.

Publication Type: Conference or Workshop Item (Paper)
Publisher Keywords: ontology alignment, walking strategy, ontology embeddings, knowledge graph embeddings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Science & Technology
School of Science & Technology > Computer Science
SWORD Depositor:
[thumbnail of om2024_poster1.pdf]
Preview
Text - Published Version
Available under License Creative Commons: Attribution International Public License 4.0.

Download (970kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login