Publication | Closed Access
Conceptual Graphs Based Information Retrieval in HealthAgents
16
Citations
8
References
2007
Year
Ontology (Information Science)EngineeringOntology EngineeringSemantic WebText MiningMeaningful WayHealthagents ProjectInformation RetrievalData ScienceManagementData IntegrationMedical OntologyBiomedical OntologyKnowledge RepresentationKnowledge RetrievalKnowledge DiscoveryConceptual GraphSources KnowledgeConceptual GraphsOntology ResearchHealth InformaticsData Modeling
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.
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