Knowledge Acquisition, Modeling and Management

Knowledge Acquisition, Modeling and Management

Author: Enric Plaza

Publisher:

Published: 2014-01-15

Total Pages: 408

ISBN-13: 9783662175668

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Book Synopsis Knowledge Acquisition, Modeling and Management by : Enric Plaza

Download or read book Knowledge Acquisition, Modeling and Management written by Enric Plaza and published by . This book was released on 2014-01-15 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Knowledge Acquisition, Modeling and Management

Knowledge Acquisition, Modeling and Management

Author: Rudi Studer

Publisher: Springer

Published: 2003-06-29

Total Pages: 413

ISBN-13: 3540487751

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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.


Book Synopsis Knowledge Acquisition, Modeling and Management by : Rudi Studer

Download or read book Knowledge Acquisition, Modeling and Management written by Rudi Studer and published by Springer. This book was released on 2003-06-29 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Knowledge Engineering and Knowledge Management. Methods, Models, and Tools

Knowledge Engineering and Knowledge Management. Methods, Models, and Tools

Author: Rose Dieng

Publisher: Springer

Published: 2003-07-31

Total Pages: 470

ISBN-13: 3540399674

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This book constitutes the refereed proceedings of the 12th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2000, held in Juan-les-Pins, France in October 2000. The 28 revised full papers and six revised short papers presented were carefully reviewed and selected from a high number of high-quality submissions. The book offers topical sections on knowledge modeling languages and tools, ontologies, knowledge acquisition from texts, machine learning, knowledge management and electronic commerce, problem solving methods, knowledge representation, validation, evaluation and certification, and methodologies.


Book Synopsis Knowledge Engineering and Knowledge Management. Methods, Models, and Tools by : Rose Dieng

Download or read book Knowledge Engineering and Knowledge Management. Methods, Models, and Tools written by Rose Dieng and published by Springer. This book was released on 2003-07-31 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2000, held in Juan-les-Pins, France in October 2000. The 28 revised full papers and six revised short papers presented were carefully reviewed and selected from a high number of high-quality submissions. The book offers topical sections on knowledge modeling languages and tools, ontologies, knowledge acquisition from texts, machine learning, knowledge management and electronic commerce, problem solving methods, knowledge representation, validation, evaluation and certification, and methodologies.


Knowledge Acquisition, Modeling and Management

Knowledge Acquisition, Modeling and Management

Author: Rudi Studer

Publisher: Springer

Published: 2003-06-29

Total Pages: 0

ISBN-13: 9783540487753

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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.


Book Synopsis Knowledge Acquisition, Modeling and Management by : Rudi Studer

Download or read book Knowledge Acquisition, Modeling and Management written by Rudi Studer and published by Springer. This book was released on 2003-06-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Knowledge Acquisition, Modeling and Management

Knowledge Acquisition, Modeling and Management

Author: Dieter Fensel

Publisher: Springer Science & Business Media

Published: 1999-05-19

Total Pages: 413

ISBN-13: 3540660445

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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.


Book Synopsis Knowledge Acquisition, Modeling and Management by : Dieter Fensel

Download or read book Knowledge Acquisition, Modeling and Management written by Dieter Fensel and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Knowledge Acquisition, Modeling and Management

Knowledge Acquisition, Modeling and Management

Author: Enric Plaza

Publisher: Lecture Notes in Artificial Intelligence

Published: 1997-09-24

Total Pages: 408

ISBN-13:

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This book constitutes the refereed proceedings of the 4th International Symposium on Solving Irregularly Structured Problems in Parallel, IRREGULAR'97, held in Paderborn, Germany, in June 1997. The 18 revised full papers presented were carefully selected by the program committee for inclusion in the volume; also included are full papers by the five invited speakers. Among the topics covered are discrete algorithms, randomized methods and approximation algorithms, implementations, programming environments, systems and applications, and scheduling and load balancing.


Book Synopsis Knowledge Acquisition, Modeling and Management by : Enric Plaza

Download or read book Knowledge Acquisition, Modeling and Management written by Enric Plaza and published by Lecture Notes in Artificial Intelligence. This book was released on 1997-09-24 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Symposium on Solving Irregularly Structured Problems in Parallel, IRREGULAR'97, held in Paderborn, Germany, in June 1997. The 18 revised full papers presented were carefully selected by the program committee for inclusion in the volume; also included are full papers by the five invited speakers. Among the topics covered are discrete algorithms, randomized methods and approximation algorithms, implementations, programming environments, systems and applications, and scheduling and load balancing.


Knowledge Acquisition in Practice

Knowledge Acquisition in Practice

Author: Nicholas Ross Milton

Publisher: Springer Science & Business Media

Published: 2007-05-01

Total Pages: 187

ISBN-13: 1846288614

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This is the first book to provide a step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its conclusion. Each is described in terms of reasons, required resources, activities, and solutions to common problems. In addition, each step has a checklist which tracks the key items that should be achieved.


Book Synopsis Knowledge Acquisition in Practice by : Nicholas Ross Milton

Download or read book Knowledge Acquisition in Practice written by Nicholas Ross Milton and published by Springer Science & Business Media. This book was released on 2007-05-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide a step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its conclusion. Each is described in terms of reasons, required resources, activities, and solutions to common problems. In addition, each step has a checklist which tracks the key items that should be achieved.


Knowledge Acquisition, Modeling and Management

Knowledge Acquisition, Modeling and Management

Author:

Publisher:

Published: 1997

Total Pages: 388

ISBN-13:

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Book Synopsis Knowledge Acquisition, Modeling and Management by :

Download or read book Knowledge Acquisition, Modeling and Management written by and published by . This book was released on 1997 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:


UML for Developing Knowledge Management Systems

UML for Developing Knowledge Management Systems

Author: Anthony J. Rhem

Publisher: CRC Press

Published: 2005-11-21

Total Pages: 315

ISBN-13: 1135485534

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UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization. It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS). This volume


Book Synopsis UML for Developing Knowledge Management Systems by : Anthony J. Rhem

Download or read book UML for Developing Knowledge Management Systems written by Anthony J. Rhem and published by CRC Press. This book was released on 2005-11-21 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization. It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS). This volume


Knowledge Engineering and Knowledge Management

Knowledge Engineering and Knowledge Management

Author:

Publisher:

Published: 2000

Total Pages:

ISBN-13:

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Book Synopsis Knowledge Engineering and Knowledge Management by :

Download or read book Knowledge Engineering and Knowledge Management written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: