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

Erman Acar; Manuel Fink; Christian Meilicke; Heiner Stuckenschmidt

doi:10.1145/2815833.2816957

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

Erman Acar, Manuel Fink, Christian Meilicke, Heiner Stuckenschmidt

Research output: Contribution to Conference › Poster › Academic

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 language	English
DOIs	https://doi.org/10.1145/2815833.2816957
Publication status	Published - 7 Oct 2015
Externally published	Yes
Event	8th International Conference on Knowledge Capture, K-CAP 2015 - Palisades, United States Duration: 7 Oct 2015 → 10 Oct 2015

Conference

Conference	8th International Conference on Knowledge Capture, K-CAP 2015
Country/Territory	United States
City	Palisades
Period	7/10/15 → 10/10/15

Keywords

Decision Making
Description Logics
Utility Theory

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10.1145/2815833.2816957

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Cite this

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title = "UDecide: A Prot{\'e}g{\'e} plugin for multiattribute decision making (K-CAP 2015)",

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.",

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author = "Erman Acar and Manuel Fink and Christian Meilicke and Heiner Stuckenschmidt",

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T2 - 8th International Conference on Knowledge Capture, K-CAP 2015

AU - Acar, Erman

AU - Fink, Manuel

AU - Meilicke, Christian

AU - Stuckenschmidt, Heiner

PY - 2015/10/7

Y1 - 2015/10/7

N2 - 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.

AB - 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.

KW - Decision Making

KW - Description Logics

KW - Utility Theory

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U2 - 10.1145/2815833.2816957

DO - 10.1145/2815833.2816957

M3 - Poster

AN - SCOPUS:84997522586

Y2 - 7 October 2015 through 10 October 2015

ER -

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

Abstract

Conference

Keywords

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