Conceptual Graphs Based Information Retrieval in HealthAgents
Conceptual Graphs Based Information Retrieval in HealthAgents
This paper focuses on the problem of representing, in a meaningful way, the knowledge involved in the HealthAgents project. Our work is motivated by the complexity of representing Electronic Health-care Records in a consistent manner. We present HADOM (HealthAgents Domain Ontology) which conceptualises the required HealthAgents information and propose describing the sources knowledge by the means of Conceptual Graphs (CGs). This allows to build upon the existing ontology permitting for modularity and flexibility. The novelty of our approach lies in the ease with which CGs can be placed above other formalisms and their potential for optimised querying and retrieval.
0-7695-2905-4
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Croitoru, Madalina
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Hu, Bo
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Dasmahapatra, Srinandan
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Lewis, Paul
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Dupplaw, David
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Gibb, A
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Julia-Sape, M
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Vicente, J
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Saez, C
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Garcia-Gomez, J.M.
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Roset, R
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Estanyol, F
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Rafael, X
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Mier, M
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2007
Croitoru, Madalina
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Hu, Bo
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Dasmahapatra, Srinandan
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Lewis, Paul
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Dupplaw, David
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Gibb, A
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Julia-Sape, M
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Vicente, J
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Saez, C
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Garcia-Gomez, J.M.
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Roset, R
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Estanyol, F
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Rafael, X
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Mier, M
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Croitoru, Madalina, Hu, Bo, Dasmahapatra, Srinandan, Lewis, Paul, Dupplaw, David, Gibb, A, Julia-Sape, M, Vicente, J, Saez, C, Garcia-Gomez, J.M., Roset, R, Estanyol, F, Rafael, X and Mier, M
(2007)
Conceptual Graphs Based Information Retrieval in HealthAgents.
CBMS'07: 20th IEEE International Symposium on Computer Based Medical Systems, Slovenia.
.
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Conference or Workshop Item
(Paper)
Abstract
This paper focuses on the problem of representing, in a meaningful way, the knowledge involved in the HealthAgents project. Our work is motivated by the complexity of representing Electronic Health-care Records in a consistent manner. We present HADOM (HealthAgents Domain Ontology) which conceptualises the required HealthAgents information and propose describing the sources knowledge by the means of Conceptual Graphs (CGs). This allows to build upon the existing ontology permitting for modularity and flexibility. The novelty of our approach lies in the ease with which CGs can be placed above other formalisms and their potential for optimised querying and retrieval.
Text
Conceptual_Graphs_Based_Information_Retrieval_in_HealthAgents.pdf
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More information
Published date: 2007
Additional Information:
Event Dates: June 2007
Venue - Dates:
CBMS'07: 20th IEEE International Symposium on Computer Based Medical Systems, Slovenia, 2007-06-01
Organisations:
Web & Internet Science, Southampton Wireless Group
Identifiers
Local EPrints ID: 267046
URI: http://eprints.soton.ac.uk/id/eprint/267046
ISBN: 0-7695-2905-4
PURE UUID: f06e7b22-ac37-475b-beeb-e541863cab83
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Date deposited: 20 Jan 2009 12:24
Last modified: 14 Mar 2024 08:41
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Contributors
Author:
Madalina Croitoru
Author:
Bo Hu
Author:
Srinandan Dasmahapatra
Author:
Paul Lewis
Author:
David Dupplaw
Author:
A Gibb
Author:
M Julia-Sape
Author:
J Vicente
Author:
C Saez
Author:
J.M. Garcia-Gomez
Author:
R Roset
Author:
F Estanyol
Author:
X Rafael
Author:
M Mier
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