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A New Model to Compute Semantic Similarity from Multi-ontology

  • Lan Wang
  • Ming Chen
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 406)

Abstract

Many measuring semantic similarity, with different methods, are applied in Natural Language Processing, knowledge acquisition and information retrieval. Recently, some authors have extended some of the existing methodologies to support multiple ontologies to improve the correlation values. In this paper, a feature-based method with heuristic function is proposed to deal with multi-ontology. By comparing the correlation values attained in this method with those of Pedersen’s biomedical benchmark, a higher accuracy is achieved.

Keywords

Semantic similarity Feature-based multi-ontology correlation value heuristics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lan Wang
    • 1
  • Ming Chen
    • 1
  1. 1.College of Information TechnologyShanghai Ocean UniversityShanghaiChina

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