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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