Synopses & Reviews
The task of Knowledge Management (KM) is to capture explicit and tacit knowledge of an organization in order to facilitate the access, sharing, and reuse of that information. KM must be guided by a strategic vision to fulfill its primary organizational objectives: improving knowledge sharing and cooperative work inside the organization; disseminating best practices; improving relationships with the external world; preserving past knowledge of the company for reuse; improving the quality of projects and innovations; anticipating the evolution of the external environment; and preparing for unexpected events and managing urgency and crisis situations. One approach for KM is to build a corporate memory or organizational memory (OM), for which several techniques can be adopted. The choice of a solution depends on the type of organization, its needs and its culture, and must take into account the organization's people and technology. 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.
Synopsis
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.
Table of Contents
List of Contributors. Preface. Acknowledgements. Part I: Methods for Knowledge Management. 1. Where Will Knowledge Management Take Us? K. Baker. 2. Knowledge Capitalization with a Knowledge Engineering Approach: the Mask Method; N. Matta, et al. Part II: Knowledge-based Approaches. 3. Capitalizing and Sharing Know and Know-how: an Approach Based on a Task/Method Knowledge-based System; F. Trichet, et al. 4. Integration of Development, Maintenance and Use of Knowledge Bases: Seamless Structured Knowledge Acquisition; P. Parpola. Part III: Ontologies and Documents. 5. Maintaining Ontologies with Organisational Memories; Y. Kalfoglou. 6. Enabling Workflow-Embedded OM Access with the Decor Toolkit; A. Abecker, et al. 7. Knowledge and Business Processes: Approaching an Integration; S. Staab, H.-P. Schnurr. 8. SAMOVAR: Using Ontologies and Text-mining for Building and Automobile Project Memory; J. Golebiowska, et al. 9. Faq-Centered Organizational Memory; S.-H. Wu, et al. Part IV: Case-Based Reasoning Approaches. 10. A Knowledge Management Initiative by UK Local Government; I. Watson. 11. Knowledge-Based Project Planning; H. Muñoz-Avila, et al. Part V: Distributed and Collaborative Approaches. 12. Unifying or Reconciling when Constructing Organizational Memory? Some Open Issues; C. Simone. 13. Domain Ontology Agents in Distributed Organizational Memories; L. van Elst, A. Abecker. 14. Netexpert: Agent-Based Expertise Location by Means of Social and Knowledge Networks; R. Sangüesa, J.M. Pujol. 15. Knowledge Sharing in Distributed Organizations; A. Sørli, et al. 16. Sharing and Checking Organization Knowledge; Y.H.- Chen-Burger. 17. A Model for the Collaborative Design of Multi Point-of-view Terminological Knowledge Based; G. Falquet, C.K. Mottaz Jiang. 18. Building Organizational Memories Using Multi-Dimensional Knowledge Networks; T.H. Lê, L. Lamontagne. Author Index. Index.