Part-whole reasoning in an object-centered framework / Patrick Lambrix.
Material type:
TextSeries: Lecture notes in computer science ; 1771. | Lecture notes in computer science. Lecture notes in artificial intelligence.Publication details: Berlin ; New York : Springer, ©2000.Description: 1 online resource (xii, 194 pages) : illustrationsContent type: - text
- computer
- online resource
- 9783540464402
- 3540464409
- Knowledge representation (Information theory)
- Predicate (Logic)
- Whole and parts (Philosophy)
- Artificial intelligence
- All (Philosophy)
- Représentation des connaissances
- Prédicat (Logique)
- Tout et parties (Philosophie)
- Intelligence artificielle
- artificial intelligence
- All (Philosophy)
- Artificial intelligence
- Knowledge representation (Information theory)
- Predicate (Logic)
- Whole and parts (Philosophy)
- 006.3/32 21
- Q387 .L35 2000
- 54.72
- SS 4800
- DAT 716f
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eBook
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e-Library | eBook LNCS | Available |
Includes bibliographical references (pages 177-185).
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 these concepts. 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.
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.
English.