Non-Standard Inferences in Description Logics From Foundations and Definitions to Algorithms and Analysis /
Küsters, Ralf.
Non-Standard Inferences in Description Logics From Foundations and Definitions to Algorithms and Analysis / [electronic resource] : by Ralf Küsters. - 1st ed. 2001. - X, 254 p. online resource. - Lecture Notes in Artificial Intelligence, 2100 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 2100 .
Description Logics -- Non-Standard Inferences -- Characterizing Subsumption -- LCS and MSC -- Matching -- Conclusion.
Description logics (DLs) are used to represent structured knowledge. Inference services testing consistency of knowledge bases and computing subconcept/superconcept hierarchies are the main feature of DL systems. Intensive research during the last fifteen years has led to highly optimized systems that allow to reason about knowledge bases efficiently. However, applications often require additional non-standard inferences to support both the construction and the maintenance of knowledge bases, thus making the inference procedures again incomplete. This book, which is a revised version of the author's PhD thesis, constitutes a significant step to fill this gap by providing an excellent formal foundation of the most prominent non-standard inferences. The descriptions given include precise definitions, complete algorithms and thorough complexity analysis. With its solid foundation, the book also serves as a basis for future research.
9783540446132
10.1007/3-540-44613-3 doi
Artificial intelligence.
Software engineering.
Machine theory.
Artificial Intelligence.
Software Engineering.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3
Non-Standard Inferences in Description Logics From Foundations and Definitions to Algorithms and Analysis / [electronic resource] : by Ralf Küsters. - 1st ed. 2001. - X, 254 p. online resource. - Lecture Notes in Artificial Intelligence, 2100 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 2100 .
Description Logics -- Non-Standard Inferences -- Characterizing Subsumption -- LCS and MSC -- Matching -- Conclusion.
Description logics (DLs) are used to represent structured knowledge. Inference services testing consistency of knowledge bases and computing subconcept/superconcept hierarchies are the main feature of DL systems. Intensive research during the last fifteen years has led to highly optimized systems that allow to reason about knowledge bases efficiently. However, applications often require additional non-standard inferences to support both the construction and the maintenance of knowledge bases, thus making the inference procedures again incomplete. This book, which is a revised version of the author's PhD thesis, constitutes a significant step to fill this gap by providing an excellent formal foundation of the most prominent non-standard inferences. The descriptions given include precise definitions, complete algorithms and thorough complexity analysis. With its solid foundation, the book also serves as a basis for future research.
9783540446132
10.1007/3-540-44613-3 doi
Artificial intelligence.
Software engineering.
Machine theory.
Artificial Intelligence.
Software Engineering.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3