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 |
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DOIs | |
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 |
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Country/Territory | United States |
City | Palisades |
Period | 7/10/15 → 10/10/15 |
Keywords
- Decision Making
- Description Logics
- Utility Theory