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Ontology Clustering with OWL2Vec*

Ritchie, A., Chen, J., Castro, L. J., Rebholz-Schuhmann, D. and Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 (2021). Ontology Clustering with OWL2Vec*. Paper presented at the Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP2021), 6-10 Jun 2021, Online.

Abstract

In this work we present an exploratory study to apply OWL2Vec* to drive the clustering of ontology entities (i.e., ontology clustering). OWL2Vec* is a state-of-the-art system that creates embeddings, capturing the semantics of both entities and tokens that appear in the ontology.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: Copyright, the authors, 2021.
Publisher Keywords: ontology; embeddings; clustering; OWL2Vec
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
Date Deposited: 20 Apr 2021 11:09
URI: https://openaccess.city.ac.uk/id/eprint/25933
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