Paper Info
Title
Conceptual Graphs Based Information Retrieval in HealthAgents
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 permit- ting for modularity and °exibility. 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.
Year
DOI
Venue
2007
10.1109/CBMS.2007.36
CBMS
Keywords
Field
DocType
required healthagents information,consistent manner,conceptual graphs,healthagents domain ontology,existing ontology permit,information retrieval,electronic health,sources knowledge,optimised querying,healthagents project,care records,health care,ontologies,knowledge representation,dna,magnetic resonance imaging,graph theory,conceptual graph,decision support systems
Ontology (information science),Graph theory,Ontology,Data mining,Knowledge representation and reasoning,Information retrieval,Computer science,Decision support system,Novelty,Rotation formalisms in three dimensions,Modularity
Conference
ISSN
ISBN
Citations 
2372-9198
0-7695-2905-4
5
PageRank 
References 
Authors
0.48
8
14
Name
Order
Citations
PageRank
Madalina Croitoru19110.24
Bo Hu216127.21
Srinandan Dasmahapatra333035.41
Paul Lewis417516.00
David Dupplaw525726.86
Alex Gibb6142.25
Margarida Julia-Sape781.57
Javier Vicente8535.45
Carlos Sáez9487.97
Juan Miguel Garcia-Gomez10101.36
Roman Roset11132.33
Francesc Estanyol12102.02
Xavier Rafael1350.48
Mariola Mier14896.24