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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

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Knowledge Acquisition, Modeling and Management - 11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29, 1999, Proceedings (Paperback, 1999 ed.) Loot Price: R1,712
Discovery Miles 17 120
Knowledge Acquisition, Modeling and Management - 11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29,...

Knowledge Acquisition, Modeling and Management - 11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29, 1999, Proceedings (Paperback, 1999 ed.)

Rudi Studer

Series: Lecture Notes in Computer Science, 1621

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Loot Price R1,712 Discovery Miles 17 120 | Repayment Terms: R160 pm x 12*

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Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW '99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Computer Science, 1621
Release date: 2001
First published: 1999
Editors: Rudi Studer
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Paperback
Pages: 412
Edition: 1999 ed.
ISBN-13: 978-3-540-66044-6
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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LSN: 3-540-66044-5
Barcode: 9783540660446

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