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- Title
An intrinsic information content‐based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology.
- Authors
Adhikari, Abhijit; Dutta, Biswanath; Dutta, Animesh; Mondal, Deepjyoti; Singh, Shivang
- Abstract
Finding similarity between concepts based on semantics has become a new trend in many applications (e.g., biomedical informatics, natural language processing). Measuring the Semantic Similarity (SS) with higher accuracy is a challenging task. In this context, the Information Content (IC)‐based SS measure has gained popularity over the others. The notion of IC evolves from the science of information theory. Information theory has very high potential to characterize the semantics of concepts. Designing an IC‐based SS framework comprises (i) an IC calculator, and (ii) an SS calculator. In this article, we propose a generic intrinsic IC‐based SS calculator. We also introduce here a new structural aspect of an ontology called DCS (Disjoint Common Subsumers) that plays a significant role in deciding the similarity between two concepts. We evaluated our proposed similarity calculator with the existing intrinsic IC‐based similarity calculators, as well as corpora‐dependent similarity calculators using several benchmark data sets. The experimental results show that the proposed similarity calculator produces a high correlation with human evaluation over the existing state‐of‐the‐art IC‐based similarity calculators.
- Subjects
STATISTICAL correlation; EXPERIMENTAL design; INFORMATION science; RESEARCH funding; SEMANTICS; STATISTICAL models; SYSTEMATIZED Nomenclature of Medicine
- Publication
Journal of the Association for Information Science & Technology, 2018, Vol 69, Issue 8, p1023
- ISSN
2330-1635
- Publication type
Article
- DOI
10.1002/asi.24021