TY  - JOUR
T1  - Measuring Semantic Similarity Between the Concepts Based on an Ontology
AU - , P. Selvi AU - , N.P. Gopalan 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 5
SP  - 617
EP  - 623
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.617.623
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.617.623
KW  - Semantic similarity
KW  -lexical database
KW  -wordNet
KW  -specificity
KW  -ontology
KW  -word similarity
KW  -information content
KW  -corpus statistics
AB  - 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.
ER  -