uDecide: A protégé plugin for multiattribute decision making

Acar, Erman ; Fink, Manuel ; Meilicke, Christian ; Stuckenschmidt, Heiner

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DOI:	https://doi.org/10.1145/2815833.2816957
URL:	https://madoc.bib.uni-mannheim.de/39476
Weitere URL:	https://www.semanticscholar.org/paper/uDecide-A-Pr...
URN:	urn:nbn:de:bsz:180-madoc-394760
Dokumenttyp:	Konferenzveröffentlichung
Erscheinungsjahr:	2015
Buchtitel:	K-CAP 2015 : Proceedings of the 8th International Conference on Knowledge Capture, Palisades, NY, USA, October 7-10, 2015
Seitenbereich:	Article 23, 1-4
Veranstaltungsdatum:	October 7, 2015
Herausgeber:	Gómez-Pérez, José Manuel
Ort der Veröffentlichung:	New York, NY
Verlag:	ACM
ISBN:	978-1-4503-3849-3
Sprache der Veröffentlichung:	Englisch
Einrichtung:	Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Fachgebiet:	004 Informatik
Abstract:	This paper introduces the Protege plugin uDecide. With the help of uDecide it is possible to solve multi-attribute decision making problems encoded in a straight forward extension of standard Description Logics. The formalism allows to specify background knowledge in terms of an ontology, while each attribute is represented as a weighted class expression. On top of such an approach one can compute the best choice (or the best k-choices) taking background knowledge into account in the appropriate way. We show how to implement the approach on top of existing semantic web technologies and demonstrate its benefits with the help of an interesting use case that illustrates how to convert an existing web resource into an expert system with the help of uDecide.