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Part-Whole Reasoning in an Object-Centered Framework - Lambrix, Patrick
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In this book, the author develops an object-centered framework with specialized support of the part-of relation based on description logics. These logics are a family of object-centered knowledge representation languages tailored for describing knowledge about concepts and is-a hierarchies of theseconcepts. In addition to the representation and reasoning facilities provided by description logics for is-a, representation and reasoning facilities are introduced for part-of. Finally, the feasibility and the usefulness of the approach is demonstrated by applying the framework to various areas…mehr

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Produktbeschreibung
In this book, the author develops an object-centered framework with specialized support of the part-of relation based on description logics. These logics are a family of object-centered knowledge representation languages tailored for describing knowledge about concepts and is-a hierarchies of theseconcepts. In addition to the representation and reasoning facilities provided by description logics for is-a, representation and reasoning facilities are introduced for part-of. Finally, the feasibility and the usefulness of the approach is demonstrated by applying the framework to various areas including domain modeling, agent-oriented scenarios, document management and retrieval, and composite concept learning.
  • Produktdetails
  • Lecture Notes in Computer Science Vol.1771
  • Verlag: Springer, Berlin
  • 2000.
  • Seitenzahl: 212
  • Erscheinungstermin: 23. Februar 2000
  • Englisch
  • Abmessung: 235mm x 155mm x 11mm
  • Gewicht: 286g
  • ISBN-13: 9783540672258
  • ISBN-10: 3540672257
  • Artikelnr.: 09241161
Inhaltsangabe
Background.- Description Logics.- Composite Objects.- Part-of in Description Logics.- Theory.- A Framework for Part-of Reasoning in Description Logics.- Extending the Framework.- Comparison of the Framework with Other Approaches.- Application Areas.- Domain Modeling in an Agent-Oriented Application.- Document Management.- Learning Composite Concepts.- Application.- Document Search Using Content, Structure and Properties.- Conclusion.- Conclusion.