Mapping Crisp Structural Semantic Similarity Measures to Fuzzy Context: A Generic Approach

Volume: 22, Issue: 4, Pages: 1224 - 1242
Published: Apr 28, 2020
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....
Paper Details
Title
Mapping Crisp Structural Semantic Similarity Measures to Fuzzy Context: A Generic Approach
Published Date
Apr 28, 2020
Volume
22
Issue
4
Pages
1224 - 1242
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