Inference Mechanisms for Knowledge Management System in E-health Environment

  • Authors:

  • Krzysztof Goczyła;Teresa Grabowska;Wojciech Waloszek;Michał Zawadzki

  • Affiliations:

  • Gdansk University of Technology, Department of Software Engineering, ul. Gabriela Narutowicza 11/12, 80-952 Gdansk, Poland, e-mails: {kris, tegra, wowal, michawa}@eti.pg.gda.pl;Gdansk University of Technology, Department of Software Engineering, ul. Gabriela Narutowicza 11/12, 80-952 Gdansk, Poland, e-mails: {kris, tegra, wowal, michawa}@eti.pg.gda.pl;Gdansk University of Technology, Department of Software Engineering, ul. Gabriela Narutowicza 11/12, 80-952 Gdansk, Poland, e-mails: {kris, tegra, wowal, michawa}@eti.pg.gda.pl;Gdansk University of Technology, Department of Software Engineering, ul. Gabriela Narutowicza 11/12, 80-952 Gdansk, Poland, e-mails: {kris, tegra, wowal, michawa}@eti.pg.gda.pl

  • Venue:
  • Proceedings of the 2005 conference on Software Engineering: Evolution and Emerging Technologies
  • Year:
  • 2005

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Abstract

The paper presents research and development accomplishments achieved so far during work on a Knowledge Management Subsystem (KMS) for a e-health system called PIPS. The paper presents the Semantic Tools layer of KMS, and concentrates particularly on the PIPS Knowledge Inference Engine (KIE). The following issues are discussed: an analysis of freely available knowledge processors, conformance to existing Semantic Web standards, basics of an algorithm called Cartographer applied in KIE, results of application of KIE based on Cartographer in the PIPS Knowledge Base and perspectives for next stages of the project.