Knowledge Management
Knowledge Management

Author: National Aeronautics and Space Administration (NASA)

Publisher: Createspace Independent Publishing Platform

Published: 2018-07-05

Total Pages: 26

ISBN-13: 9781722331245

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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...

On Knowledge Base Management Systems
On Knowledge Base Management Systems

Author: Michael L. Brodie

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 650

ISBN-13: 1461249805

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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

Author: Joachim W. Schmidt

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 566

ISBN-13: 3642833977

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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

Author: Nelson Mendonça Mattos

Publisher: Springer

Published: 1991

Total Pages: 268

ISBN-13:

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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."--PUBLISHER'S WEBSITE.

Knowledge Management
Knowledge Management

Author: Tapan K Panda

Publisher: Excel Books India

Published: 2008

Total Pages: 236

ISBN-13: 9788174466211

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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

Author: Ronald Maier

Publisher: Springer Science & Business Media

Published: 2007-06-30

Total Pages: 732

ISBN-13: 3540714081

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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.

A concept for knowledge management: A comparison of knowledge management and information management
A concept for knowledge management: A comparison of knowledge management and information management

Author: Ulrike Heid

Publisher: diplom.de

Published: 2002-04-30

Total Pages: 129

ISBN-13: 3832453709

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Inhaltsangabe:Abstract: A new discipline that has arisen recently as a hot new topic for management is knowledge management. Not only is management challenged to face the strategic importance for competitive advantage that business consultants promise, but also information professionals who have been engaged in this subject already for quite a long time. This dissertation focuses on a comparison of knowledge management with information management, based on a model that embraces both information and knowledge. Founded on an examination of the unique characteristics of knowledge, the concept of knowledge management is introduced. To stay in synch with the pace of change in their operational and competitive environments organisations require a balance of organisational competencies for knowledge management and change proficiency. This requires a new kind of learning called double-loop learning and implies knowledge flows across organisational boundaries. Knowledge Management can be expected to fundamentally change the management perspective on movements such as Total Quality Management and Business Re-engineering, forcing management to basically rethink the theory of processes. Another focus of this dissertation is on the role that technology plays in knowledge management. As information professionals are traditionally concerned with technology it has been considered to look at knowledge management technology in more detail. Technology is one of six key factors facilitating knowledge management. The focus further on is on approaches to classify knowledge management technology and a survey of the knowledge management software market. The dissertation is accomplished through a glossary of the most important technical terms in context with knowledge management as well as a list of products from knowledge management vendors. The conclusion summarises the most important findings. Those are that information management and knowledge management complement each other, the first centring on the input-process-output sequence, the latter around the knowledge creation of people to deal with those processes. It becomes obvious that human resource management has to play its part in dealing with the soft part of knowledge management. Thus technology has a minor role in introducing knowledge management in an organisation though it can play an important part in supporting knowledge-related processes. Most companies have already got in place the technological [...]