Knowledge Management

Knowledge Management PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722331245
Category :
Languages : en
Pages : 26

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Book Description
Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency. Riedesel, Joel D. Unspecified Center NAS8-36433...

Knowledge Management

Knowledge Management PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722331245
Category :
Languages : en
Pages : 26

Get Book Here

Book Description
Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency. Riedesel, Joel D. Unspecified Center NAS8-36433...

Knowledge Management

Knowledge Management PDF Author: Joel David Riedesel
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 30

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Book Description


Knowledge Management: An Abstraction of Knowledge Base and Database Management Systems

Knowledge Management: An Abstraction of Knowledge Base and Database Management Systems PDF Author: Joel D. Riedesel
Publisher:
ISBN:
Category :
Languages : en
Pages : 28

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Book Description


On Knowledge Base Management Systems

On Knowledge Base Management Systems PDF Author: Michael L. Brodie
Publisher: Springer Science & Business Media
ISBN: 1461249805
Category : Computers
Languages : en
Pages : 650

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Book Description
Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.

Foundations of Knowledge Base Management

Foundations of Knowledge Base Management PDF Author: Joachim W. Schmidt
Publisher: Springer Science & Business Media
ISBN: 3642833977
Category : Computers
Languages : en
Pages : 566

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Book Description
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.

An Approach to Knowledge Base Management

An Approach to Knowledge Base Management PDF Author: Nelson Mendonça Mattos
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 268

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Book Description
"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."--PUBLISHER'S WEBSITE.

Knowledge Management

Knowledge Management PDF Author: Tapan K Panda
Publisher: Excel Books India
ISBN: 9788174466211
Category : Industrial management
Languages : en
Pages : 236

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Book Description
The idea of managing and transforming tacit to explicit knowledge is getting more and more attention in public systems domain. It has been quite sometime that authors, researchers and managers have come to realize that employees, processes and systems of decision-making in the organizations are a great reservoir of tacit knowledge. It is an important challenge to build and manage systems that can capture, store, retrieve and build new knowledge base for effective decision-making and yet have a human interface. This book is an eye opener for people having interest in knowledge management and knowledge management systems in modern organizations. This book covers ideas, models, conceptual papers and case studies covering the whole globe through the lenses of authors of different continents. For good governance and effective management of public systems, the authors have developed knowledge management processes, models and systems that can have universal appeal and applicability. The book has sixteen, well researched, thought provoking papers and case studies from India, Europe, Brazil and USA. The judicious mix of conceptual papers and case studies will help the students/managers to understand and internalize the process and stages of knowledge management from different countries. It will also make them visualize the practice of knowledge management across the diverse organizations and countries.

Knowledge Management Systems

Knowledge Management Systems PDF Author: Ronald Maier
Publisher: Springer Science & Business Media
ISBN: 3540714081
Category : Business & Economics
Languages : en
Pages : 732

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Book Description
Knowledge management promises concepts and instruments that help organizations support knowledge creation, sharing and application. This book offers a comprehensive account of the many facets, concepts and theories that have influenced knowledge management and integrates them into a framework consisting of strategy, organization, systems and economics guiding the design of successful initiatives. The third edition extends coverage of the two pillars of implementing knowledge management initiatives, organization and systems.

Knowledge Management

Knowledge Management PDF Author: Pankaj Sharma
Publisher: APH Publishing
ISBN: 9788176485159
Category :
Languages : en
Pages : 268

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Book Description


Encyclopedia of Knowledge Management, Second Edition

Encyclopedia of Knowledge Management, Second Edition PDF Author: Schwartz, David
Publisher: IGI Global
ISBN: 1599049325
Category : Computers
Languages : en
Pages : 1652

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Book Description
Knowledge Management has evolved into one of the most important streams of management research, affecting organizations of all types at many different levels. The Encyclopedia of Knowledge Management, Second Edition provides a compendium of terms, definitions and explanations of concepts, processes and acronyms addressing the challenges of knowledge management. This two-volume collection covers all aspects of this critical discipline, which range from knowledge identification and representation, to the impact of Knowledge Management Systems on organizational culture, to the significant integration and cost issues being faced by Human Resources, MIS/IT, and production departments.