Semantic similarity based on compact concept ontology

  • Authors:
  • Ce Zhang;Yu-Jing Wang;Bin Cui;Gao Cong

  • Affiliations:
  • Peking University, Beijing, China;Peking University, Beijing, China;Peking University, Beijing, China;Microsoft Research Asia, Beijing, China

  • Venue:
  • Proceedings of the 17th international conference on World Wide Web
  • Year:
  • 2008

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Abstract

This paper presents a new method of calculating the semantic similarity between two articles based on WordNet. To further improve the performance of the proposed method, we build a new Compact Concept Ontology (CCO) from WordNet by combining the words with similar semantic meanings. The experimental results show that our approach significantly outperforms a recent proposal of computing semantic similarity, and demonstrate the superiority of the proposed CCO method.