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 | |
| 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 | United States |
| City | Palisades |
| Period | 7/10/15 → 10/10/15 |
Fingerprint
Keywords
- Decision Making
- Description Logics
- Utility Theory
Cite this
}
UDecide : A Protégé plugin for multiattribute decision making (K-CAP 2015). / Acar, Erman; Fink, Manuel; Meilicke, Christian; Stuckenschmidt, Heiner.
2015. Poster session presented at 8th International Conference on Knowledge Capture, K-CAP 2015, Palisades, United States.Research output: Contribution to Conference › Poster › Academic
TY - CONF
T1 - UDecide
T2 - A Protégé plugin for multiattribute decision making (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
UR - http://www.scopus.com/inward/record.url?scp=84997522586&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84997522586&partnerID=8YFLogxK
U2 - 10.1145/2815833.2816957
DO - 10.1145/2815833.2816957
M3 - Poster
ER -