Title: A semantic similarity calculation model for event ontology mapping

Authors: Xu Wang; Wei Liu; Yue Tan

Addresses: School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China ' School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China ' School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China

Abstract: Ontology mapping is quite a useful solution for matching semantics between ontologies or schemas that were designed independently of each other. The traditional ontology is mainly to describe concepts and hierarchy relations between concepts, which easily cause 'tennis problem' and impact the accuracy of concept mapping, especially while integrating data in event-centred domains. In this paper, we give the definition of event ontology mapping, and then propose a semantic similarity calculation model for event ontology mapping, which enable the mapping between event-based information with more abundant semantics, and especially enable the semantic mapping between event elements in different event classes. Experiments show that the proposed model can effectively identify the semantic relations of event classes in two event ontologies.

Keywords: ontology mapping; event ontology; event semantical similarity.

DOI: 10.1504/IJHPCN.2018.093235

International Journal of High Performance Computing and Networking, 2018 Vol.11 No.4, pp.322 - 331

Received: 16 Jan 2016
Accepted: 22 May 2016
Published online: 24 Jul 2018 *

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