knowledge acquisition modeling (24 résultats)

Gr.-8°, Taschenbuch. Etat : Gut. 404 S., graf. Darst. Gebraucht: guter und sauberer Zustand. 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. Sprache: Englisch Gewicht in Gramm: 518.

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Paperback. Etat : New. 1999 ed. This book constitutes the refereed proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management, EKAW '99, held at Dagstuhl Castle, Germany in May 1999. The volume presents 16 revised full papers and 15 revised short papers were carefully reviewed and selected form a high number of submissions. Also included are two invited papers. The papers address issues of knowledge acquisition (i.e., the process of extracting, creating, structuring knowledge, etc.), of knowledge-level modeling for knowledge-based systems, and of applying and redefining this work in a knowledge management and knowledge engineering context.

Etat : New.

Paperback. Etat : New.

Paperback. Etat : New.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the refereed proceedings of the 10th European Workshop on Knowledge Acquisition, Modelling and Management, EKAW '97, held in Sant Feliu de Guixols, Catalonia, Spain, in October 1997.The 20 revised full papers and 11 short papers presented were carefully selected from numerous submissions. Also included is one invited presentation. Among the topics covered are the mainstream knowledge acquisition issues, but also more innovative ones, knowledge integration, enterprise modelling, knowledge reuse, natural language processing, problem solving, knowledge extraction, Web-based knowledge systems, machine learning, data mining, etc.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Taschenbuch. Etat : Neu. Knowledge Acquisition, Modeling and Management | 11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29, 1999, Proceedings | Rudi Studer | Taschenbuch | xii | Englisch | 1999 | Springer | EAN 9783540660446 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Etat : Neu. Knowledge Acquisition, Modeling and Management | 10th European Workshop, EKAW'97, Sant Feliu de Guixols, Catalonia, Spain, October 15-18, 1997. Proceedings | Enric Plaza (u. a.) | Taschenbuch | xii | Englisch | 1997 | Springer | EAN 9783540635925 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Etat : As New. Unread book in perfect condition.

Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 424 pp. Englisch.

Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume constitutes the refereed proceedings of the 10th European Workshop on Knowledge Acquisition, Modelling and Management, EKAW 97, held in Sant Feliu de Guixols, Catalonia, Spain, in October 1997.The 20 revised full papers and 11 short papers .

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume constitutes the refereed proceedings of the 10th European Workshop on Knowledge Acquisition, Modelling and Management, EKAW '97, held in Sant Feliu de Guixols, Catalonia, Spain, in October 1997.The 20 revised full papers and 11 short papers presented were carefully selected from numerous submissions. Also included is one invited presentation. Among the topics covered are the mainstream knowledge acquisition issues, but also more innovative ones, knowledge integration, enterprise modelling, knowledge reuse, natural language processing, problem solving, knowledge extraction, Web-based knowledge systems, machine learning, data mining, etc. 408 pp. Englisch.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume constitutes the refereed proceedings of the 10th European Workshop on Knowledge Acquisition, Modelling and Management, EKAW '97, held in Sant Feliu de Guixols, Catalonia, Spain, in October 1997.The 20 revised full papers and 11 short papers presented were carefully selected from numerous submissions. Also included is one invited presentation. Among the topics covered are the mainstream knowledge acquisition issues, but also more innovative ones, knowledge integration, enterprise modelling, knowledge reuse, natural language processing, problem solving, knowledge extraction, Web-based knowledge systems, machine learning, data mining, etc.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 408 pp. Englisch.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 424 pp. Englisch.