OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment

Authors: Sevinj Teymurova, Ernesto Jiménez-Ruiz, Tillman Weyde, Jiaoyan Chen

Abstract: Ontology alignment is integral to achieving semantic interoperability as the
number of available ontologies covering intersecting domains is increasing.
This paper proposes OWL2Vec4OA, an extension of the ontology embedding system
OWL2Vec*. While OWL2Vec* has emerged as a powerful technique for ontology
embedding, it currently lacks a mechanism to tailor the embedding to the
ontology alignment task. OWL2Vec4OA incorporates edge confidence values from
seed mappings to guide the random walk strategy. We present the theoretical
foundations, implementation details, and experimental evaluation of our
proposed extension, demonstrating its potential effectiveness for ontology
alignment tasks.

Source: http://arxiv.org/abs/2408.06310v1

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