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Ontology Clustering with OWL2Vec*

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


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 © 2021 This paper is reproduced under the Creative Commons License Attribution 4.0 International (CC BY 4.0).
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 Science & Technology > Computer Science
[thumbnail of OntologyClusteringOWL2Vec_DeepOntoNLP2021.pdf]
Text - Accepted Version
Available under License Creative Commons: Attribution International Public License 4.0.

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