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

The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours
The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours
In this paper we present our experience of representing the knowledge behind HealthAgents, 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 employed by clinical partners in HealthAgents.
303-328
Hu, Bo
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Croitoru, Madalina
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Roset, Roman
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Dupplaw, David
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Lurgi, Miguel
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Dasmahapatra, Srinandan
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Lewis, Paul
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Martinez-Miranda, Juan
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Saez, Carlos
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Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Croitoru, Madalina
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Roset, Roman
e1868e55-5e88-4104-93f6-5dedbe9d9f22
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce
Lurgi, Miguel
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Dasmahapatra, Srinandan
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Lewis, Paul
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Martinez-Miranda, Juan
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Saez, Carlos
0c8a236c-7f8e-4b32-9077-5661a6c61d71

Hu, Bo, Croitoru, Madalina, Roset, Roman, Dupplaw, David, Lurgi, Miguel, Dasmahapatra, Srinandan, Lewis, Paul, Martinez-Miranda, Juan and Saez, Carlos (2011) The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours. The Knowledge Engineering Review, 26 (3), 303-328. (doi:10.1017/S0269888911000130).

Record type: Article

Abstract

In this paper we present our experience of representing the knowledge behind HealthAgents, 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 employed by clinical partners in HealthAgents.

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Published date: July 2011
Organisations: Web & Internet Science, Southampton Wireless Group

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Local EPrints ID: 270995
URI: http://eprints.soton.ac.uk/id/eprint/270995
PURE UUID: 805999ac-2bb0-451e-8da2-d3bc6a36f631

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Date deposited: 05 May 2010 14:36
Last modified: 14 Mar 2024 09:20

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Contributors

Author: Bo Hu
Author: Madalina Croitoru
Author: Roman Roset
Author: David Dupplaw
Author: Miguel Lurgi
Author: Srinandan Dasmahapatra
Author: Paul Lewis
Author: Juan Martinez-Miranda
Author: Carlos Saez

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