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Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web
2006
2006 Second International Conference on Rules and Rule Markup Languages for the Semantic Web (RuleML'06)
Vagueness and imprecision abound in multimedia information processing and retrieval. In this paper, we present an approach to fuzzy description logic programs under the answer set semantics for the Semantic Web, which is an integration of description logics with nonmonotonic logic programs under the answer set semantics (with default negation in rule bodies) that also allows for representing and reasoning with vagueness and imprecision. More concretely, we define a canonical semantics of
doi:10.1109/ruleml.2006.12
dblp:conf/ruleml/Lukasiewicz06
fatcat:qorslyeshzfbhbqol5rclbc6dm