Semantic Associative Search and Space Integration Methods Applied to Semantic Metrics for Multiple Medical Fields

  • Authors:
  • Yasushi Kiyoki;Minoru Kawamoto

  • Affiliations:
  • Department of Environmental Information, Keio University, Fujisawa, Kanagawa 252-8520, Japan, kiyoki@mdbl.sfc.keio.ac.jp, minoru@mdbl.sfc.kaio.ac.jp;Department of Environmental Information, Keio University, Fujisawa, Kanagawa 252-8520, Japan, kiyoki@mdbl.sfc.keio.ac.jp, minoru@mdbl.sfc.kaio.ac.jp

  • Venue:
  • Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Semantic associative search and semantic space integration are promising and significant functions for obtaining appropriate and significant information resources in multimedia database and knowledge base environments. Semantic space creation and integration for semantic associative search are essentially important for realizing advanced semantic associative search environments and synergy effects among different domain fields. This paper presents implementation and application of our semantic associative search and semantic space integration methods to actual medical fields. This implementation realizes a domain-specific semantic associative search and semantic space integration by referring to domain-specific encyclopedias. This paper also shows the feasibility and applicability of the semantic associative search environment with integration of those medical fields. Several experimental results are shown to clarify the feasibility and applicability of the semantic associative search environment in actual medical fields.