An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project

  • Authors:

  • Tamás Hauer;Dmitry Rogulin;Sonja Zillner;Andrew Branson;Jetendr Shamdasani;Alexey Tsymbal;Martin Huber;Tony Solomonides;Richard Mcclatchey

  • Affiliations:

  • CCS Research Centre, CEMS Faculty, University of the West of England Coldharbour Lane, Frenchay, Bristol, UK BS16 1QY;CCS Research Centre, CEMS Faculty, University of the West of England Coldharbour Lane, Frenchay, Bristol, UK BS16 1QY;Corporate Technology Division, Siemens AG, Germany;CCS Research Centre, CEMS Faculty, University of the West of England Coldharbour Lane, Frenchay, Bristol, UK BS16 1QY;CCS Research Centre, CEMS Faculty, University of the West of England Coldharbour Lane, Frenchay, Bristol, UK BS16 1QY;Corporate Technology Division, Siemens AG, Germany;Corporate Technology Division, Siemens AG, Germany;CCS Research Centre, CEMS Faculty, University of the West of England Coldharbour Lane, Frenchay, Bristol, UK BS16 1QY;CCS Research Centre, CEMS Faculty, University of the West of England Coldharbour Lane, Frenchay, Bristol, UK BS16 1QY

  • Venue:
  • ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
  • Year:
  • 2008

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Abstract

Medical ontologies have become the standard means of recording and accessing conceptualized biological and medical knowledge. The expressivity of these ontologies goes from simple concept lists through taxonomies to formal logical theories. In the context of patient information, their application is primarily annotation of medical (instance) data. To exploit higher expressivity, we propose an architecture which allows for reasoning on patient data using OWL DL ontologies. The implementation is carried out as part of the Health-e-Child platform prototype. We discuss the use case where ontologies establish a hierarchical classification of patients which in turn is used to aid the visualization of patient data. We briefly discuss the treemap-based patient viewer which has been evaluated in the Health-e-Child project.