4th International Workshop on Knowledge Management and Collaboration

Knowledge Management (KM) has been occupying, at least since the beginning of the nineties, much more important place within organizations. The necessity to manage both explicit and tacit knowledge created and used in organizations has increased rapidly in the recent years. Organizations have become aware of the importance of the invaluable capital owned by their members which corresponds to their experiences and accumulated knowledge about the firm activities. Maintaining this capital is a powerful mean to improve the level of economical performance of an organization. Thus, companies should invest on knowledge management projects in order to amplify the creation, the sharing and the transfer of explicit and tacit knowledge. Collaboration technologies can be used to handle KM in organizations. Several techniques can be considered to develop and implement knowledge management and organizational memory systems, according to the types of organization, its needs, and its culture as well as the nature of knowledge to be capitalized. For example, Knowledge-based approaches, corporate semantic web, CBR-based approaches, ontology based approaches, agent-based approaches, etc. The objective of this multidisciplinary workshop is to gather both researchers and practitioners to discuss methodological, technical and organizational aspects of collaboration technologies and systems used for knowledge management, knowledge discovery, mining, feedback of KM applications, and especially using collaboration techniques for KM and employing KM to increase effective collaboration. A second aspect would be how to use collaboration systems and technologies in Knowledge management and discovery. Researchers and practitioners are invited to present recent advances in methodologies, models and tools for managing knowledge in organizations and to discuss experiences of successful or unsuccessful knowledge management projects. Papers are welcomed in any research area concerning knowledge management and discovery such as knowledge engineering, artificial intelligence, information systems, CSCW, business management, and knowledge economy. Target applications of this research and real work case studies could be the following: Automobile, Biology, Design, Education, Medical Domain, Telecommunications, Aeronautics and Space, Tourism, Finance, Public Administration, Social, etc.