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- Title
Mapping Crisp Structural Semantic Similarity Measures to Fuzzy Context: A Generic Approach.
- Authors
Safaeipour, Hoda; Fazel Zarandi, M. H.; Bastani, Susan
- Abstract
Ontology-based similarity measures have received much importance in recent years. In many real-world cases, the domain considered in the ontological similarity assessment consists of uncertainty or incomplete information. Such vagueness has led to the successful implementation of fuzzy ontology (FO)-based similarity measures. Despite various applications of FO-based similarity measures, limited methods have so far been proposed for this purpose. Accordingly, this paper presents a generic model for semantic similarity assessment based on a fuzzy ontology. The proposed approach relies on the broad literature of Crisp Ontology-based Structural Semantic Similarity Measures (CO-SSSM). It provides an approach for mapping CO-SSSMs to fuzzy context. Consequently, the proposed generic model can be applied to various CO-SSSMs to develop their corresponding FO-SSSMs. In this regard, as an empirical investigation, four of the common CO-SSSMs were selected, their equivalent FO-SSSMs were developed by means of the proposed approach, and the accuracy of their similarity assessment was compared with each other. The results show the power of FO-SSSMs in describing the relations between concepts and their superiority over CO-SSSMs.
- Subjects
ONTOLOGIES (Information retrieval); FUZZY systems; MATHEMATICAL models; VAGUENESS (Philosophy); SEMANTICS
- Publication
International Journal of Fuzzy Systems, 2020, Vol 22, Issue 4, p1224
- ISSN
1562-2479
- Publication type
Article
- DOI
10.1007/s40815-020-00833-w