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.
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 © 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 > Department of Computer Science |
Available under License Creative Commons: Attribution International Public License 4.0.
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