TY - GEN
T1 - Conceptual graphs based information retrieval in healthagents
AU - Croitoru, Madalina
AU - Hu, Bo
AU - Dasmahapatra, Srinandan
AU - Lewis, Paul
AU - Dupplaw, David
AU - Gibb, Alex
AU - Julia-Sape, Margarida
AU - Vicente, Javier
AU - Saez, Carlos
AU - Garcia-Gomez, Juan Miguel
AU - Roset, Roman
AU - Estanyol, Francesc
AU - Rafae, Xavier
AU - Mier, Mariola
PY - 2007
Y1 - 2007
N2 - 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 Healthcare 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.
AB - 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 Healthcare 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.
UR - http://www.scopus.com/inward/record.url?scp=34748845765&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2007.36
DO - 10.1109/CBMS.2007.36
M3 - Otra contribución
AN - SCOPUS:34748845765
SN - 0769529054
SN - 9780769529059
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
ER -