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Part-whole Reasoning in an Object-centered Framework
Patrick Lambrix
€ 68.39
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Description for Part-whole Reasoning in an Object-centered Framework
Paperback. In this title, 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-cetered knowledge representation languages tailored for describing knowledge about concepts. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 195 pages, biography. BIC Classification: UMN. Category: (P) Professional & Vocational. Dimension: 279 x 216 x 11. Weight in Grams: 305.
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.
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.
Product Details
Format
Paperback
Publication date
2000
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
195
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
183
Place of Publication
Berlin, Germany
ISBN
9783540672258
SKU
V9783540672258
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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