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Foundations Knowledge Base Management by Joachim Schmidt (21 results)
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Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications (Topics in Information Systems).
Seller: Wissenschaftl. Antiquariat Th. Haker e.K, Klettgau, Germany
Seller rating 5 out of 5 stars
hardcover. Condition: Sehr gut. 593 p. In very good condition. ISBN: 9783540189879 Sprache: Englisch Gewicht in Gramm: 972.
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Gebundene Ausgabe. Condition: Gut. 579 Seiten ex Library Book aus einer wissenschaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 969.
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Condition: New. pp. xiv + 579.
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Condition: New. pp. xiv + 579 Illus.
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Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications (Topics in Information Systems)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 127.34
US$ 15.74 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. xiv + 579.
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Foundations of Knowledge Base Management : Contributions from Logic, Databases, and Artificial Intelligence Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 127.33
US$ 19.70 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Condition: New. pp. 598.
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Taschenbuch. Condition: Neu. Foundations of Knowledge Base Management | Contributions from Logic, Databases, and Artificial Intelligence Applications | Joachim W. Schmidt (u. a.) | Taschenbuch | xiv | Englisch | 2012 | Springer | EAN 9783642833991 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications (Topics in Information Systems)
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642833993 ISBN 13: 9783642833991
Language: English
Paperback. Condition: Brand New. reprint edition. 593 pages. 9.25x6.10x1.26 inches. In Stock.
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Foundations of Knowledge Base Management : Contributions from Logic, Databases, and Artificial Intelligence Applications
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642833993 ISBN 13: 9783642833991
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology aimed at the processing of knowledge stored under comparatively general representation schemes. Nowadays, the focus has been redirected to the role played by specific and detailed knowledge, rather than to the reasoning methods themselves. Many new application systems are centered around knowledge bases, i. e. , they are based on large collections offacts, rules, and heuristics that cap ture knowledge about a specific domain of applications. Experience has shown that when used in combination with rich knowledge bases, even simple reasoning methods can be extremely effective in a wide variety of problem domains. Knowledge base construction and management will thus become the key factor in the development of viable knowledge-based ap plications. Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases. In addition to deductive reasoning, KBMSs require operational characteristics such as concurrent access, integrity maintenance, error recovery, security, and perhaps distribution. For the development ofKBMSs, the need to integrate concepts and technologies from different areas, such as Artificial Intel ligence, Databases, and Logic, has been widely recognized. One of the central issues for KBMSs is the framework used for knowledge representation-semantic networks, frames, rules, and logics are proposed by the AI and logic communities.
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Foundations of Knowledge Base Management : Contributions from Logic, Databases, and Artificial Intelligence Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 197.51
US$ 19.70 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Foundations of Knowledge Base Management
Published by Springer Berlin Heidelberg Jan 2012, 2012
ISBN 10: 3642833993 ISBN 13: 9783642833991
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology aimed at the processing of knowledge stored under comparatively general representation schemes. Nowadays, the focus has been redirected to the role played by specific and detailed knowledge, rather than to the reasoning methods themselves. Many new application systems are centered around knowledge bases, i. e. , they are based on large collections offacts, rules, and heuristics that cap ture knowledge about a specific domain of applications. Experience has shown that when used in combination with rich knowledge bases, even simple reasoning methods can be extremely effective in a wide variety of problem domains. Knowledge base construction and management will thus become the key factor in the development of viable knowledge-based ap plications. Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases. In addition to deductive reasoning, KBMSs require operational characteristics such as concurrent access, integrity maintenance, error recovery, security, and perhaps distribution. For the development ofKBMSs, the need to integrate concepts and technologies from different areas, such as Artificial Intel ligence, Databases, and Logic, has been widely recognized. One of the central issues for KBMSs is the framework used for knowledge representation-semantic networks, frames, rules, and logics are proposed by the AI and logic communities. 596 pp. Englisch.
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Foundations of Knowledge Base Management
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642833993 ISBN 13: 9783642833991
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology a.
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Condition: New. Print on Demand pp. 598 84 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 598.
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Foundations of Knowledge Base Management
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2012, 2012
ISBN 10: 3642833993 ISBN 13: 9783642833991
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology aimed at the processing of knowledge stored under comparatively general representation schemes. Nowadays, the focus has been redirected to the role played by specific and detailed knowledge, rather than to the reasoning methods themselves. Many new application systems are centered around knowledge bases, i. e. , they are based on large collections offacts, rules, and heuristics that cap ture knowledge about a specific domain of applications. Experience has shown that when used in combination with rich knowledge bases, even simple reasoning methods can be extremely effective in a wide variety of problem domains. Knowledge base construction and management will thus become the key factor in the development of viable knowledge-based ap plications. Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases. In addition to deductive reasoning, KBMSs require operational characteristics such as concurrent access, integrity maintenance, error recovery, security, and perhaps distribution. For the development ofKBMSs, the need to integrate concepts and technologies from different areas, such as Artificial Intel ligence, Databases, and Logic, has been widely recognized. One of the central issues for KBMSs is the framework used for knowledge representation-semantic networks, frames, rules, and logics are proposed by the AI and logic communities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 596 pp. Englisch.
