Affiliations: Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, India
Correspondence:
[*]
Corresponding author. B. Sathiya, Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, India. Tel.: +91 9789517984; E-mail: sathiyabalu89@gmail.com.
Abstract: Ontologies are the extensively used structural and semantic knowledge representation to describe any entities with non-ambiguous meaning and relations. A large number of general and domain specific semantic similarity measures are available in the literature to access the similarity among these rich knowledge bases. Nevertheless, none of the measures have the best performance in all domains and applications. Each measure uses different strategies and possesses its own pros and cons. Hence, to consolidate the different kinds of measures, its applicability, the similarity and difference among them, the advantages and disadvantages of the measures, a detailed review of different semantic similarity measures has been carried out in this paper. Specifically, a comprehensive and novel classification of the semantic similarity measures exploring different type of ontology information has been presented and each measure is briefed. Further, the open challenges in this field, existing evaluation methodologies and datasets for the semantic similarity measures are also described.
Keywords: Semantic similarity, ontologies, path based measures, depth based measures, IC based measures, DL based measures, feature based measures
