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Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
2013 (Engelska)Ingår i: POLIBITS Research Journal on Computer Science and Computer Engineering With Applications, ISSN 1870-9044, Vol. 48, s. 39-46Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The consideration of heterogenous knowledge sources for supporting decision making is key to accomplish informed decisions, e.g., about medical diagnosis. Consequently, merging different data from different knowledge bases is a key issue for providing support for decision-making. In this paper, we explore an argumentation context approach, which follows how medical professionals typically reason, in order to merge two basic kinds of reasoning approaches based on logic programs: deductive and abductive inferences. In this setting, we introduce two kinds of argumentation frameworks: deductive argumentation frameworks and abductive argumentation frameworks. For merging these argumentation frameworks, we follow an approach based on argumentation context systems. We illustrate the approach by considering two different declarative specifications of evidence-based medical knowledge into logic programs in order to support informed medical decisions.

Ort, förlag, år, upplaga, sidor
2013. Vol. 48, s. 39-46
Nyckelord [en]
Knowledge representation, deductive knowledge bases, abductive knowledge bases
Nationell ämneskategori
Datorsystem
Forskningsämne
datalogi
Identifikatorer
URN: urn:nbn:se:umu:diva-84492OAI: oai:DiVA.org:umu-84492DiVA, id: diva2:684588
Tillgänglig från: 2014-01-08 Skapad: 2014-01-08 Senast uppdaterad: 2018-06-08Bibliografiskt granskad

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Nieves, Juan CarlosLindgren, Helena

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