Skip to Main content Skip to Navigation
Journal articles

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

Bo Hu 1 Madalina Croitoru 2 Roman Roset 3 David Dupplaw 4 Miguel Lurgi 3 Srinandan Dasmahapatra 4 Paul Lewis 4 Juan Martinez-Miranda 3 Carlos Saez 5
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
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.
Document type :
Journal articles
Complete list of metadata

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00410648
Contributor : Madalina Croitoru <>
Submitted on : Friday, August 21, 2009 - 4:53:12 PM
Last modification on : Thursday, May 6, 2021 - 10:10:02 AM
Long-term archiving on: : Tuesday, June 15, 2010 - 10:41:05 PM

Identifiers

Collections

Citation

Bo Hu, Madalina Croitoru, Roman Roset, David Dupplaw, Miguel Lurgi, et al.. The HealthAgents ontology: Knowledge representation in a distributed decision support system for brain tumours. Knowledge Engineering Review, Cambridge University Press (CUP), 2011, 26 (3), pp.303-328. ⟨10.1017/S0269888911000130⟩. ⟨lirmm-00410648⟩

Share

Metrics

Record views

410

Files downloads

851