Semantics-based information modeling for the health-care administration sector: the Citation platform

  • Authors:
  • A. G. Anagnostakis;M. Tzima;G. C. Sakellaris;D. I. Fotiadis;A. C. Likas

  • Affiliations:
  • Dept. of Comput. Sci., Univ. of Ioannina & Biomed. Res. Inst.FORTH, Greece;-;-;-;-

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

An information brokerage environment for effective information structuring, indexing, and retrieval in the health-care administration sector is presented. The system is based on ontology modeling, natural language processing, extensible markup language, semantics analysis, and behavioral description. Semantics-based information acquisition is achieved through the uniform modeling, representation, and handling of domain-specific knowledge, both content-based and procedural. The system has been validated using information located on several repositories in the web and its performance is reported in terms of precision and recall.