Abstract
Semantic similarity between concepts supported by the use of ontology plays a prominent role in the concept of the semantic level to provide semantic information for web services discovery and composition. In this work we consider ontology as knowledge structure that specifies concepts and their semantic relations. And we propose a fuzzy similarity measure for not only atomic concepts with inclusion relation but also complex concepts with semantic relation. This fuzzy similarity measure has property of weak fuzzy similarity relation, which conquers existing limitations of equivalence relation. Furthermore, this fuzzy similarity measure based on shared information content could reflect latent semantic relation of concepts better than ever.
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