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The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours

Published online by Cambridge University Press:  28 July 2011

Bo Hu ,
Madalina Croitoru ,
Roman Roset ,
David Dupplaw ,
Miguel Lurgi ,
Srinandan Dasmahapatra ,
Paul Lewis ,
Juan Martínez-Miranda  and
Carlos Sáez
Bo Hu*
Affiliation:
ECS, University of Southampton, Southampton SO17 1BJ, UK; e-mail: [email protected], [email protected], [email protected], [email protected] SAP Research, Belfast BT37 0QB, UK; e-mail: [email protected]
Madalina Croitoru*
Affiliation:
LIRMM, 161 rue ADA, F34392 Montpellier Cedex 5, Montpellier, France; e-mail: [email protected]
Roman Roset*
Affiliation:
MicroArt, Parc Cientific de Barcelona, 08028, Barcelona, Spain; e-mail: [email protected], [email protected], [email protected]
David Dupplaw*
Affiliation:
ECS, University of Southampton, Southampton SO17 1BJ, UK; e-mail: [email protected], [email protected], [email protected], [email protected]
Miguel Lurgi*
Affiliation:
MicroArt, Parc Cientific de Barcelona, 08028, Barcelona, Spain; e-mail: [email protected], [email protected], [email protected]
Srinandan Dasmahapatra*
Affiliation:
ECS, University of Southampton, Southampton SO17 1BJ, UK; e-mail: [email protected], [email protected], [email protected], [email protected]
Paul Lewis*
Affiliation:
ECS, University of Southampton, Southampton SO17 1BJ, UK; e-mail: [email protected], [email protected], [email protected], [email protected]
Juan Martínez-Miranda*
Affiliation:
MicroArt, Parc Cientific de Barcelona, 08028, Barcelona, Spain; e-mail: [email protected], [email protected], [email protected]
Carlos Sáez*
Affiliation:
ITACA—Universidad Politécnica de Valencia, Spain; e-mail: [email protected]
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Abstract

In this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the distributed nature of the information involved in the system and has been enriched by clinicians’ requirements and data access restrictions. We present in detail the steps we have taken towards building our ontology starting from knowledge acquisition to data access and reasoning. We motivate our representational choices and show our results using domain examples used by clinical partners in HA.

Type
Articles
Information
The Knowledge Engineering Review , Volume 26 , Special Issue 3: Computational Intelligence for Neuro-Oncological Diagnosis , 28 July 2011 , pp. 303 - 328
Copyright
Copyright © Cambridge University Press 2011

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