Semantic distance of concepts within a unified framework in the biomedical domain

  • Authors:

  • Hisham Al-Mubaid;Hoa A. Nguyen

  • Affiliations:

  • University of Houston-Clear Lake, Houston, TX;University of Houston-Clear Lake, Houston, TX

  • Venue:
  • Proceedings of the 2007 ACM symposium on Applied computing
  • Year:
  • 2007

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Abstract

This paper presents a cross-ontology approach, as an extension of the Cluster-Based approach, to measure semantic distance between concepts within single ontology or between concepts dispersed in multiple ontologies in a unified framework in the biomedical domain. The experimental results (with ~0.81 correlation with human scores) confirmed that the proposed approach is effective and has great potential in measuring semantic distance using multiple ontologies in a unified framework.