Improved Semantic Similarity Algorithm Based on Ontology

Abstract:

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The measuring of semantic similarity is the key technique in information retrieval. Based on the common semantic similarity algorithm between concepts, this paper makes use of semantic weighted distance and introduces such factors as node density, concept attribute and concept information content, and presents an improved semantic similarity algorithm to make the measuring semantic similarity more accurate. Through experimental calculation and analysis, the semantic similarity obtained from the improved algorithm can describe more accurately the similar relation between ontology concepts, and correspond to a higher degree with human subjective judgment.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

709-714

DOI:

10.4028/www.scientific.net/AMM.66-68.709

Citation:

J. Y. Wei et al., "Improved Semantic Similarity Algorithm Based on Ontology", Applied Mechanics and Materials, Vols. 66-68, pp. 709-714, 2011

Online since:

July 2011

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Price:

$35.00

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