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International Journal of Soft Computing
Year: 2007 | Volume: 2 | Issue: 5 | Page No.: 617-623
Measuring Semantic Similarity Between the Concepts Based on an Ontology
P. Selvi and N.P. Gopalan
Abstract: Ontologies are in the heart of the knowledge management process. Different semantic measures have been proposed in the literature to evaluate the strength of the semantic link between two concepts or two groups of concepts from either two different ontologies (ontology alignment) or the same ontology. This study proposes a method for measuring semantic similarity/distance between terms. This measure combines strengths and complements weaknesses of existing measures that use knowledge base as primary source. The proposed measure uses a new feature of common specificity (ComSpe) besides the path length feature. The ComSpe feature is derived from_information content of concepts and information content of the knowledge base given a corpus. We evaluated the proposed measure with benchmark test set of term pairs scored for similarity by human experts. The experimental results demonstrated that our similarity measure is effective and outperforms the existing measures. The proposed semantic similarity measure gives the best correlation (0.874) with human scores in the benchmark test set compared to the existing measures.
How to cite this article:
P. Selvi and N.P. Gopalan , 2007. Measuring Semantic Similarity Between the Concepts Based on an Ontology . International Journal of Soft Computing, 2: 617-623.