UDecide: A Protégé plugin for multiattribute decision making (K-CAP 2015)

Erman Acar, Manuel Fink, Christian Meilicke, Heiner Stuckenschmidt

Research output: Contribution to ConferencePosterAcademic

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.

Original languageEnglish
DOIs
Publication statusPublished - 7 Oct 2015
Externally publishedYes
Event8th International Conference on Knowledge Capture, K-CAP 2015 - Palisades, United States
Duration: 7 Oct 201510 Oct 2015

Conference

Conference8th International Conference on Knowledge Capture, K-CAP 2015
CountryUnited States
CityPalisades
Period7/10/1510/10/15

Keywords

  • Decision Making
  • Description Logics
  • Utility Theory

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  • Cite this

    Acar, E., Fink, M., Meilicke, C., & Stuckenschmidt, H. (2015). UDecide: A Protégé plugin for multiattribute decision making (K-CAP 2015). Poster session presented at 8th International Conference on Knowledge Capture, K-CAP 2015, Palisades, United States. https://doi.org/10.1145/2815833.2816957