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.

- Learn to deliver scalable, secure portal applications, and develop a cost justification for a portal project - See how portal tools and components operate together, integrate disparate applications, and improve search and navigation - Featured case studies examine specific tools from vendors such as Oracle, IBM, Broadvision, Vignette, Verity, Plumtree, Hummingbird, and Semio

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.

"This book discusses the technology behind portals and grid networks, including topics such as management issues, deployment considerations, facilities and tools for creating and managing grid and portal applications"--Provided by publisher.

"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.

Although there are numerous publications in the field of knowledge management (KM), there are still gaps in the literature regarding the aspects of KM that reflect new technology adoption and a deeper analysis discussing the interlinked process between KM and data analytics in business process improvement. It is essential for business leaders to understand the role and responsibilities of leaders for the adoption and consolidation of a KM system that is effective and profitable. Understanding, Implementing, and Evaluating Knowledge Management in Business Settings provides a comprehensive approach to KM concepts and practices in corporations and business organizations. Covering topics such as information overload, knowledge sharing adoption, and collective wisdom, this premier reference source is a comprehensive and essential resource for business executives, managers, IT specialists and consultants, libraries, students, entrepreneurs, researchers, and academicians.

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.

Discusses the convergence of knowledge and learning management and provides state-of-the art knowledge with a semantic web perspective.

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.