Conceptual Graphs Based Information Retrieval in HealthAgents

Author

Croitoru, Madalina ; Hu, Bo ; Dasmahapatra, Srinandan ; Lewis, Paul ; Dupplaw, David ; Gibb, Alex ; Julia-Sape, Margarida ; Vicente, Javier ; Saez, Carlos ; Garcia-Gomez, Juan Miguel ; Roset, Roman ; Estanyol, Francesc ; Rafael, Xavier ; Mier, Mariola

Author_Institution

Univ. of Southampton, Southampton

fYear

2007

fDate

20-22 June 2007

Firstpage

618

Lastpage

623

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 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.

Keywords

decision support systems; distributed decision making; graph theory; health care; medical computing; medical information systems; ontologies (artificial intelligence); query processing; HADOM; HealthAgents; HealthAgents domain ontology; conceptual graphs; electronic healthcare records; information retrieval; Clinical diagnosis; DNA; Decision support systems; Information retrieval; Knowledge representation; Magnetic resonance imaging; Medical diagnostic imaging; Medical services; Neoplasms; Ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2007. CBMS '07. Twentieth IEEE International Symposium on

Conference_Location

Maribor

ISSN

1063-7125

Print_ISBN

0-7695-2905-4

Type

conf

DOI

10.1109/CBMS.2007.36

Filename

4262717