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Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)In: POLIBITS Research Journal on Computer Science and Computer Engineering With Applications, ISSN 1870-9044, Vol. 48, 39-46 p.Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
2013. Vol. 48, 39-46 p.
Keyword [en]
Knowledge representation, deductive knowledge bases, abductive knowledge bases
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-84492OAI: oai:DiVA.org:umu-84492DiVA: diva2:684588
Available from: 2014-01-08 Created: 2014-01-08 Last updated: 2017-12-06Bibliographically approved

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http://polibits.gelbukh.com/2013_48/Merging%20Deductive%20and%20Abductive%20Knowledge%20Bases_%20An%20Argumentation%20Context%20Approach.html

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  • de-DE
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