This major work challenges some widely held positions in epistemology - those of Peirce and Popper on the one hand and those of Quine and Kuhn on the other. The author contends that epistemological infallibilism is compatible with his view that knowledge evolves through a process of updating and correcting. Knowledge is regarded as a resource for decision and inquiry, a standard for serious possibility.
Far beyond simple data archives and streamlined access, enterprise knowledge portals represent the future of corporate information management. Seamlessly interweaving three essential principles -- people, content, and technology -- an effective portal is the ultimate roadmap to every conceivable permutation of the components in a business's landscape. This prescient, authoritative book is a vital reference for anyone concerned with harvesting, creating, distributing, or analyzing company information. HR executives and IT professionals will learn not only how to create the atlas to their company's universe but also how to define and assign the roles and responsibilities that will ensure long-term efficacy and relevance. Companies will have the ability to: * Build technology around knowledge requirements, not the other way around * Customize desktop access around individual requirements and workstyles * Make better decisions as a result of quick access to crucial information * Maximize speed, efficiency, accuracy, and flexibility of knowledge transfer.
This volume presents a methodology for defining, measuring and improving data quality. It lays out an economic framework for understanding the value of data quality, then outlines data quality rules and domain- and mapping-based approaches to consolidating enterprise knowledge.
Whilst enterprise technology departments have been steadily building their information and knowledge management portfolios, the Internet has generated new sets of tools and capabilities which provide opportunities and challenges for improving and enriching knowledge work. This book fills the gap between strategy and technology by focussing upon the functional capabilities of Web 2.0 in corporate environments and matching these to specific types of information requirement and behaviour. It takes a resource based view of the firm: why and how can the knowledge capabilities and information assets of organisations be better leveraged using Web 2.0 tools?Identifying the underlying benefits requires the use of frameworks beyond profitability and cost control. Some of these perspectives are not in the usual business vocabulary, but when applied, demonstrate the role that can be played by Web 2.0, how to manage towards these and how to assess success. Transactive memory systems, social uncertainty, identity theory, network dynamics, complexity theory, organisational memory and the demographics of inter- generational change are not part of normal business parlance but can be used to clarify Web 2.0 application and potentiality. - Written by a well-respected practitioner and academic - Draws on the author's practical experience as a technology developer, designer, senior manager and researcher - Provides approaches to understanding and tackling real-world problems
This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.
"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.
If you are responsible for the management of an intelligence enterprise operation and its timely and accurate delivery of reliable intelligence to key decision-makers, this book is must reading. It is the first easy-to-understand, system-level book that specifically applies knowledge management principles, practices and technologies to the intelligence domain. The book describes the essential principles of intelligence, from collection, processing and analysis, to dissemination for both national intelligence and business applications.
In this penetrating study of how knowledge-based services and technology are revolutionizing the economy and every corporate strategy, James Brian Quinn argues that the successful companies of the 90's -- whether in manufacturing or services -- will derive their competitive edge not from ephemerally superior products but from a deep understanding of a few highly developed knowledge and service based "core competencies." Rarely will owning the largest raw materials resource, manufacturing plants, equipment bases, or integrated facilities provide a maintainable competitive edge for major companies. Such physical properties are too easily cloned or bypassed. From now on, Quinn documents, intelligent enterprises will derive sustainable advantage from knowledge and service based activities that leverage intellectual assets. They will increase value through technological sophistication, better knowledge bases, more creative customer responsiveness, and the unsurpassed management of human and intellectual capital that competitors cannot reproduce. Quinn analyzes the technological and economic forces that make such strategies essential. He shows in detail how to create and leverage knowledge and service based core competencies for maximum focus and effectiveness. Managers, Quinn asserts, must define each value-creating activity as a knowledge based service and determine whether or not they can perform that service -- be it research, design, inventory control, accounting, distribution, or advertising -- better than anyone else in the world. Using examples from companies such as Merck, Honda, Apple, Boeing, and Wal-Mart, Quinn describes how forward-looking companies can best perform needed analyses and implement strategies around selected core competencies. By eliminating or "outsourcing" less important functions to superior outside vendors, firms become more responsive, decentralized, and lean. They become the "intelligent enterprises" of the 1990s, leveraging human and capital resources much more than other firms. They may also take on radically new organizational forms, become "starburst," "inverted," "infinitely flat," or "spiders' web" configurations. By designing and benchmarking their knowledge and service based activities to be "best in world," managers can obliterate overhead costs, smash bureaucracies, motivate personnel, and create greater value for customers and shareholders alike.
This comprehensive discussion of the problem of rational belief develops the subject on the pattern of Bayesian decision theory. The analogy with decision theory introduces philosophical issues not usually encountered in logical studies and suggests some promising new approaches to old problems."We owe Professor Levi a debt of gratitude for producing a book of such excellence. His own approach to inductive inference is not only original and profound, it also clarifies and transforms the work of his predecessors. In short, the book deserves to become a classic....There is a great deal of interest in the book besides these basic matters [forumlating rules of acceptance]. Some of the most interesting chapters are those that examine the implications of such rules. The discussions of probability, generalization, and various forms of inference are brilliant and enlightening. Indeed, the problems and methods elaborated by Professor Levi in his book serve as a new foundation for the study of inductive inference."--Keith Lehrer, Nous"Levi's book is an extremely interesting report on 'tentative and speculative first steps' toward a decision-theoretic approach to inductive inference....Professor Levi is to be congratulated on his ingenious development and application of this approach...."--Richard C. Jeffrey, The Journal of Philosophy
The Age of Knowledge emphasizes that the ongoing transformations of knowledge, both within universities and for society more generally, must be understood as a reflection of the larger changes in the constitutive social structures within which they are invariably produced, translated and reproduced.
