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Author : Nelson M. Mattos
Publisher : Unknown
Page : 264 pages
File Size : 53,5 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662181894
Author : Nelson Mendonça Mattos
Publisher : Springer
Page : 268 pages
File Size : 55,5 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015022060902
"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.
Author : Michael L. Brodie,John Mylopoulos
Publisher : Springer Science & Business Media
Page : 650 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461249801
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.
Author : Nelson Mendonça Mattos
Publisher : Unknown
Page : 255 pages
File Size : 47,8 Mb
Release : 1989
Category : Electronic
ISBN : OCLC:256160478
Author : Gregoris Mentzas,Dimitris Apostolou,Andreas Abecker,Ron Young
Publisher : Springer Science & Business Media
Page : 202 pages
File Size : 44,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447100690
A new economy is emerging. An economy that is transforming the fundamental rules of business. An economy based on exploiting knowledge and innovation. An economy where knowledge is the main source of wealth for regions, nations, enter prises and people. This new economy is based on economic values far removed from those of the industrial economy. Value has shifted towards intangibles and in particular towards increasing value by incorporating knowledge into services and products. The advent of this new economy is rapidly changing the role and structure of global business. Winning enterprises are those best able to harness the benefits and opportunities of information and communication technology, capitalize on their knowledge base and move at the speed of the market. Knowledge management lies at the heart of the European Community's competi tiveness strategy. The European Commission facilitates and supports applied research in knowledge management through its Information Society Technologies (1ST) programme, a major theme of research and technological development within the European Union's Research and Technology Development Framework Programme. Specifically, the New Methods of Work and Electronic Commerce action of the 1ST programme supports long-term applied research in areas combin ing technological innovation with new work practices and advanced business and work models.
Author : Rajkumar Roy
Publisher : Springer Science & Business Media
Page : 553 pages
File Size : 43,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781447103516
The book presents state of the art practices and research in the area of Knowledge Capture and Reuse in industry. This book demonstrates some of the successful applications of industrial knowledge management at the micro level. The Micro Knowledge Management (MicroKM) is about capture and reuse of knowledge at the operational, shopfloor and designer level. The readers will benefit from different frameworks, concepts and industrial case studies on knowledge capture and reuse. The book contains a number of invited papers from leading practitioners in the field and a small number of selected papers from active researchers. The book starts by providing the foundation for micro knowledge management through knowledge systematisation, analysing the nature of knowledge and by evaluating verification and validation technology for knowledge based system of frameworks for knowledge capture, reuse and development. A number integration are also provided. Web based framework for knowledge capture and delivery is becoming increasingly popular. Evolutionary computing is also used to automate design knowledge capture. The book demonstrates frameworks and techniques to capture knowledge from people, data and process and reuse the knowledge using an appropriate tool in the business. Therefore, the book bridges the gap between the theory and practice. The 'theory to practice' chapter discusses about virtual communities of practice, Web based approaches, case based reasoning and ontology driven systems for the knowledge management. Just-in-time knowledge delivery and support is becoming a very important tool for real-life applications.
Author : Jay Liebowitz,Lyle C. Wilcox
Publisher : CRC Press
Page : 224 pages
File Size : 43,6 Mb
Release : 1997-05-21
Category : Technology & Engineering
ISBN : 0849331161
Knowledge: In the realm of knowledge management, information plus wisdom equals knowledge. Organizations have found that the knowledge they contain can be one of their most important competitive weapons Definition: Knowledge management: The ability of an organization to manage, store, value, and distribute knowledge. Some organizations have created the position of Chief Knowledge Manager (CKM) to handle knowledge management responsibilities Many organizations fail to effectively manage and use the most important competitive edge they possess - their knowledge and "intellectual capital." This book covers the entire growing field of knowledge management, with particular emphasis on knowledge-based systems and their use in preserving knowledge in an organization, and integrating it across departments and disciplines. This hands-on guide shows how businesses and other organizations can re-engineer their processes using an applied knowledge-based approach. Each chapter introduces a different aspect of the field and demonstrates its application in actual case studies. Examples from industry, education, and government show the wide application of this exciting new field of study. The book also covers promising trends such as learning organizations, intelligent organizations, and enterprise management.
Author : Jessica Keyes
Publisher : CRC Press
Page : 499 pages
File Size : 41,8 Mb
Release : 2006-05-22
Category : Business & Economics
ISBN : 9781420013863
Knowledge management (KM) is the identification and analysis of available and required knowledge, and the subsequent planning and control of actions, to develop "knowledge assets" that enable businesses to generate profits and improve their competitive positions. This volume provides the framework for the strategic use of the information intelligen
Author : Stephen R. Schmidt,Mark Jay Kiemele,Ronald J. Berdine
Publisher : Unknown
Page : 266 pages
File Size : 55,6 Mb
Release : 1996
Category : Business & Economics
ISBN : 1880156059
Author : Walter R.J. Baets
Publisher : Springer Science & Business Media
Page : 402 pages
File Size : 44,8 Mb
Release : 2005-10-27
Category : Business & Economics
ISBN : 9780387258461
Knowledge Management and Management Learning: Extending the Horizons of Knowledge-Based Management examines a range of topical considerations in the field by utilizing dynamic and non-linear systems behavior or the complexity paradigm. From this examination have come a number of new and promising relevant extensions to knowledge management and its practice. Many of the topics have been pulled from "real world" situations in actual companies, and therefore these topical treatments reflect quantitative and qualitative research done within the knowledge management framework of actual company experience. Offered are a series of topical treatments that extend the parameters of knowledge management and examine the practical implications of these extensions. The book begins with an extended introduction and theoretical framework. The contributing authors have written chapters that add to both the framework and the practical consequences of knowledge management. Within this context, the book illustrates why and how of knowledge management is important for companies.
Author : Richard A. Frost
Publisher : Simon & Schuster Books For Young Readers
Page : 712 pages
File Size : 47,7 Mb
Release : 1986
Category : Computers
ISBN : UOM:39015011740043
Author : Mark Jay Kiemele,Richard C.. Murrow,Lee R.. Pollock
Publisher : Air Academy Press
Page : 271 pages
File Size : 53,7 Mb
Release : 2007
Category : Business & Economics
ISBN : 1880156083
Author : Kimiz Dalkir
Publisher : MIT Press
Page : 548 pages
File Size : 41,5 Mb
Release : 2017-12-22
Category : Business & Economics
ISBN : 9780262036870
A new, thoroughly updated edition of a comprehensive overview of knowledge management (KM), covering theoretical foundations, the KM process, tools, and professions. The ability to manage knowledge has become increasingly important in today's knowledge economy. Knowledge is considered a valuable commodity, embedded in products and in the tacit knowledge of highly mobile individual employees. Knowledge management (KM) represents a deliberate and systematic approach to cultivating and sharing an organization's knowledge base. This textbook and professional reference offers a comprehensive overview of the field. Drawing on ideas, tools, and techniques from such disciplines as sociology, cognitive science, organizational behavior, and information science, it describes KM theory and practice at the individual, community, and organizational levels. Chapters cover such topics as tacit and explicit knowledge, theoretical modeling of KM, the KM cycle from knowledge capture to knowledge use, KM tools, KM assessment, and KM professionals. This third edition has been completely revised and updated to reflect advances in the dynamic and emerging field of KM. The specific changes include extended treatment of tacit knowledge; integration of such newer technologies as social media, visualization, mobile technologies, and crowdsourcing; a new chapter on knowledge continuity, with key criteria for identifying knowledge at risk; material on how to identify, document, validate, share, and implement lessons learned and best practices; the addition of new categories of KM jobs; and a new emphasis on the role of KM in innovation. Supplementary materials for instructors are available online.
Author : Rose Dieng-Kuntz,Nada Matta
Publisher : Springer Science & Business Media
Page : 231 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461509479
Knowledge Management and Organizational Memories presents models, methods, and techniques for building, managing and using corporate memories. These models incorporate knowledge bases, ontologies, documents, FAQs, workflow systems, case-based reasoning systems, multi-agent systems, and CSCW. The book is divided into five parts: methods; knowledge-based approaches; ontologies and documents; case-based reasoning approaches; and distributed and collaborative approaches.
Author : Joachim W. Schmidt,Costantino Thanos
Publisher : Springer Science & Business Media
Page : 566 pages
File Size : 52,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642833977
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.