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by Nelson Mendonca Mattos

Author: Nelson Mendonca Mattos
Subcategory: Computer Science
Language: English
Publisher: Springer Verlag (September 1, 1991)
Category: Technologies and Computers
Rating: 4.7
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An Approach to Knowledge Base Management (Lecture Notes in Computer Science). Nelson Mendonca Mattos.

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This book addresses the development of a new generation of systems, Knowledge Base Management Systems (KBMS), specially constructed for effective and efficient management of knowledge bases, with the aim of filling part of the technological gap between artificial intelligence and databases.

oceedings{Mattos1991AnAT, title {An Approach to Knowledge Base Management}, author {Nelson Mendonça Mattos}, booktitle {Lecture Notes in Computer Science}, year {1991} }. Nelson Mendonça Mattos. Published in Lecture Notes in Computer Science 1991. Knowledge and human problem solving. A survey of knowledge-based systems. Approaches towards KB management. KBMS architectural issues. The KBMS prototype KRISYS.

The developed system implements a simple approach to recommend a. .March 2006 · Journal of Computer Science. But control is a function of knowledge, and in uncertain environments knowledge often does not exist. It is necessary therefore, to manage, .

The developed system implements a simple approach to recommend a learning path to guide a learner from any point of the course. Experimental result also supports the system by manifesting desired output. assume more flexible responses than are possible in a rigid control mode. The article examines the implications of the management/control confusion as an analogue to Type II statistical error.

The book first investigates in detail the design process, the architecture, and the This book addresses the development of a new generation of systems, Knowledge Base Management Systems (KBMS), specially constructed for effective and efficient management of knowledge bases, with the aim of filling part of the technological gap between artificial intelligence and databases An Approach to Knowledge Base Management (Lecture Notes in Computer Science). 354054268X (ISBN13: 9783540542681).

Advanced Mathematical Methods in Science and Engineering. The formal concept analysis approach has been proven successful in a wide range of application fields. This book constitutes a comprehensive and systematic presentation of the state of the art of formal concept analysis and its applications. The first part of the book is devoted to foundational and methodological topics.

Lecture Notes in Computer Science is a series of computer science books published by Springer Science+Business Media since 1973. The series contains proceedings, post-proceedings, and monographs. In addition, tutorials, state-of-the-art surveys, and "hot topics" are increasingly being included. Two sub-series are: Lecture Notes in Artificial Intelligence. Lecture Notes in Bioinformatics. Monographiae Biologicae, another monograph series published by Springer Science+Business Media.

Notes in Computer Science) .

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This book addresses the development of a new generation of systems, Knowledge Base Management Systems (KBMS), specially constructed for effective and efficient management of knowledge bases, with the aim of filling part of the technological gap between artificial intelligence and databases. The book first investigates in detail the design process, the architecture, and the working methods of knowledge based systems (KS) in order to point out the key characteristics of the field as well as its current limitations, which serve then as basis for an exact formulation of KS requirements. An analysis and evaluation of other approaches (e.g., conventional DBS, non-standard DBS, coupling expert systems and DBS) to knowledge management is given. The book shows that in developing KBMS, the experience obtained by the investigation of each of these approaches is extremely important since they provide the basic concepts for building KBMS. The approaches should not be viewed as complete and final but as part of research work towards KBMS. A novel architecture is described for KBMS which integrates the functionality, flexibility and modeling power of DBS and AI. The main part of the book deals with all important architectural problems of KBMS: methods for knowledge representation with special emphasis on abstraction concepts, language proposals, and concepts for performance improvement. The book is based on practical experience accumulated over five years of successful research in coupling existing expert systems and DBS, extending DBS with deductive capabilities, and above all in the design and implementation of a KBMS prototype. Thus the book's proposals are illustrated with detailed descriptions of their realization in existing systems or prototypes.