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Non-Standard Inferences in Description Logics : From Foundations and Definitions to Algorithms and Analysis / / by Ralf Küsters



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Autore: Küsters Ralf Visualizza persona
Titolo: Non-Standard Inferences in Description Logics : From Foundations and Definitions to Algorithms and Analysis / / by Ralf Küsters Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Edizione: 1st ed. 2001.
Descrizione fisica: 1 online resource (X, 254 p.)
Disciplina: 006.3/32
Soggetto topico: Artificial intelligence
Software engineering
Mathematical logic
Artificial Intelligence
Software Engineering/Programming and Operating Systems
Mathematical Logic and Formal Languages
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Description Logics -- Non-Standard Inferences -- Characterizing Subsumption -- LCS and MSC -- Matching -- Conclusion.
Sommario/riassunto: 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.
Titolo autorizzato: Non-Standard Inferences in Description Logics  Visualizza cluster
ISBN: 3-540-44613-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910145795103321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence ; ; 2100