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On Knowledge Base Management Systems by Michael L. Brodie,John Mylopoulos Pdf
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 by Joachim W. Schmidt,Costantino Thanos Pdf
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.
Foundations of Knowledge Base Management by Joachim W. Schmidt,Costantino Thanos Pdf
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.
Knowledge Management Basics by Christee Gabour Atwood Pdf
Knowledge management is an ongoing process designed to dispense company information in a user-friendly way for both current and future employees. Knowledge Management Basics explains the key concepts and the overall benefits of implementing that process, offers information assessment techniques and tips and assists in the design of a practical system to capture, organize, and maintain company information. This title focuses on the learning professional's role in the knowledge management process and aims to teach those professionals how to get the process started within their organizations.Knowledge Management Basics presents a five-step process that will enable you, the learning professional, to: define your role in a knowledge management initiative and prepare to lead that effort determine your organization's needs locate knowledge sources choose systems to gather and house information that make sense for your organization's culture compile, confirm, and circulate knowledge maintain the knowledge system.
Foundations of Knowledge Systems by Gerd Wagner Pdf
One of the main uses of computer systems is the management of large amounts of symbolic information representing the state of some application domain, such as information about all the people I communicate with in my personal address database, or relevant parts of the outer space in the knowledge base of a NASA space mission. While database management systems offer only the basic services of information storage and retrieval, more powerful knowledge systems offer, in addition, a number of advanced services such as deductive and abductive reasoning for the purpose of finding explanations and diagnoses, or generating plans. In order to design and understand database and knowledge-based applications it is important to build upon well-established conceptual and mathematical foundations. What are the principles behind database and knowledge systems? What are their major components? Which are the important cases of knowledge systems? What are their limitations? Addressing these questions, and discussing the fundamental issues of information update, knowledge assimilation, integrity maintenance, and inference-based query answering, is the purpose of this book. Foundations of Databases and Knowledge Systems covers both basic and advanced topics. It may be used as the textbook of a course offering a broad introduction to databases and knowledge bases, or it may be used as an additional textbook in a course on databases or Artificial Intelligence. Professionals and researchers interested in learning about new developments will benefit from the encyclopedic character of the book, which provides organized access to many advanced concepts in the theory of databases and knowledge bases.
Creating Knowledge Based Organizations by Jatinder N. D. Gupta,Sushil Kumar Sharma Pdf
Creating Knowledge Based Organizations brings together high quality concepts and techniques closely related to organizational learning, knowledge workers, intellectual capital, and knowledge management. It includes the methodologies, systems and approaches that are needed to create and manage knowledge based organizations.
Knowledge Management Foundations by Professor of Sociology Steve Fuller, PhD,Steve Fuller Pdf
'Knowledge Management Foundations' is just what it claims, the first attempt to provide a secure intellectual footing for the myriad of practices called "knowledge management." A breath of fresh air from the usual KM gurus, Fuller openly admits that the advent of KM is a mixed blessing that often amounts to the conduct of traditional management by subtler means. However, Fuller's deep understanding of both the history of management theory and knowledge production more generally enables him to separate the wheat from the chaff of the KM literature. This ground-breaking book will prove of interest to both academics and practitioners of knowledge management. It highlights the ways in which KM has challenged the values associated with knowledge that academics have taken for granted for centuries. At the same time, Fuller resists the conclusion of many KM gurus, that the value of knowledge lies in whatever the market will bear in the short term. He pays special attention to how information technology has not only facilitated knowledge work but also has radically altered its nature. There are chapters devoted to the revolution in intellectual property and an evaluation of peer review as a quality control mechanism. The book culminates in a positive re-evaluation of universities as knowledge producing institutions from which the corporate sector still has much to learn.
Encyclopedia of Knowledge Management, Second Edition by Schwartz, David Pdf
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.
Author : Nilmini Wickramasinghe,Dag K. J. E. Von Lubitz Publisher : IGI Global Page : 398 pages File Size : 54,8 Mb Release : 2007-01-01 Category : Business & Economics ISBN : 9781599042374
Knowledge-based Enterprise by Nilmini Wickramasinghe,Dag K. J. E. Von Lubitz Pdf
"This book provides comprehensive coverage of all areas (people, process, and technology) necessary to become a knowledge-based enterprise. It presents several frameworks facilitating the implementation of a KM initiative and its ongoing management so that pertinent knowledge and information are always available to the decision maker, and so the organization may always enjoy a sustainable competitive advantage"--Provided by publisher.
Knowledge Management for Help Desk and Customer Care: How to Build an Effective Knowledge Base - A Roadmap to Success by Juliano Statdlober Pdf
This book is divided into two parts.In its first part, it presents conceptual core definitions of knowledge management, with a theoretical basis and synthesis arising from research made in several publications, among books, articles, white papers and blogs. The result of this work is a summary of huge material, facilitating the introduction to the subject and understanding thereof.The focus of the book, however, is not restricted to knowledge management in itself. It is not a work which exhausts the subject, although it is a good reference for those wishing to be introduced to the issue.The objective is to present a practical proposition for development of initiatives of knowledge management applied to help desk and customer-care. To achieve this, the first part of the book also presents concepts of KCS (Knowledge-Centered Service), a set of practices and a specific methodology focused upon technical support, to improve the efficacy of resolving problems. KCS, however, is not limited merely to solving problems, being able to be adapted to handling requests in general.KCS is the result of compiling best practices and discussing initiatives by a group of large information technology companies, which formed a consortium to share ideas and experiences.The areas of technical support, whether in help desk or in customer care, depend upon the qualification of the people involved in the process, and this in turn depends upon knowledge. Indeed, how can one resolve a problem without knowing the subject concerned? The worst is that such subject is usually a technical issue, or is related to something technical, as the functioning of software or a product. Even in the cases of requisitions, where the agent does not go to resolve a problem, but to render a service to handle a request, knowledge is required: how to proceed to fulfill the necessity, or to whom and how forward the requisition, and what information is necessary? And if the requisition is a request for information, where to search for this information to pass to the requestor?KCS was created, with certain assumptions common to knowledge management, to deal with obtaining, sharing and transmitting knowledge to improve service, involving incidents and problems. As the methodology itself determines, it can be adapted to aid in forming a useful knowledge basis for handling requisitions. In the first part of the book KCS is presented and commented upon in a detailed manner, including its concepts, objectives and practices. As the theoretical concepts are presented and explained, and that, therefore, a context is provided, in its second part the book develops and presents a practical proposal of planning and implementing a knowledge management system using the practices of KCS. What is being proposed is the use of the conceptual basis of KCS, but not being limited thereto. Indeed, a roadmap resulting from the concepts as well as the experience and a certain creative boldness of this author is presented. The model proposed is something practical and applicable in companies of any size which have areas of technical support, service-desk, shared services or customer care. As they are practices suggested, they can be adapted, obviously, but their structure has a composition which allows the understanding of the themes in a logical and clear sequence, without ever losing sight of the essential academic concepts of knowledge management and KCS, obviously.
An Approach to Knowledge Base Management by Nelson Mendonça Mattos Pdf
"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 in Theory and Practice, third edition by Kimiz Dalkir Pdf
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.
Ubiquitous Developments in Knowledge Management: Integrations and Trends by Jennex, Murray E. Pdf
"This book presents current research in Knowledge Management, highlighting new technologies, approaches, issues, solutions, or cases that can help an organization implement a knowledge management initiative or provide a knowledge base"--Provided by publisher.
