Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web
Author(s) -
Thomas Lukasiewicz,
Umberto Straccia
Publication year - 2008
Publication title -
international journal on semantic web and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.32
H-Index - 33
eISSN - 1552-6291
pISSN - 1552-6283
DOI - 10.4018/jswis.2008070104
Subject(s) - fuzzy logic , theoretical computer science , computer science , description logic , fuzzy number , t norm fuzzy logics , fuzzy set operations , fuzzy classification , fuzzy control language , mathematics , programming language , artificial intelligence , fuzzy set
We present a novel approach to fuzzy description logic programs (or simply fuzzy dl-programs) under the answer set semantics, which is a tight integration of fuzzy disjunctive logic programs under the answer set semantics with fuzzy description logics. From a different perspective, it is a generalization of tightly coupled disjunctive dl-programs by fuzzy vagueness in both the description logic and the logic program component. We show that the new formalism faithfully extends both fuzzy disjunctive logic programs and fuzzy description logics, and that under suitable assumptions, reasoning in the new formalism is decidable. We present a polynomial reduction of certain fuzzy dl-programs to tightly coupled disjunctive dl-programs, and we analyze the complexity of consistency checking and query processing for certain fuzzy dl-programs. Furthermore, we provide a special case of fuzzy dl-programs for which deciding consistency and query processing can both be done in polynomial time in the data complexity. Copyright © 2008, IGI Global
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