BREIN is an FP6 EC-Project dealing with the development of an intelligent grid infrastructure. A key knowledge management challenge to be addressed within the project is the distribution of the results from the project to the software development community, in order to foster the usage of the BREIN middleware. Therefore this project introduces the BREIN Roadmap. The Roadmap is realized applying the knowledge management approach PROMOTE that enables the knowledge transformation and distribution.
Despite the growing importance of knowledge work in today’s organizations, its support by means of ICT tools is still rather limited. Recent trends in semantic technologies provide novel approaches for an effective solution to these challenges in terms of semanticbased task management. However, task management involves the complex interplay of information and work activities. Thus a semantic task management framework is needed which supports an adaptable semantic foundation, to meet the challenges of knowledge work, via a set of task services on the desktop. To this end, we propose the Nepomuk Semantic Task Management Framework (STMF) as platform for a task-oriented ecosystem for desktop applications.
Many enterprises loose work time because they lack of global search solutions or their solutions are not able to satisfy the needs in a reasonable time. This results in costs for lost work time as well as increased response time. We present a novel approach to federated search engines that use case based reasoning to rerank results according to the searchers needs and therefore leads to a higher quality of search results and faster information retrieval.
The knowledge maturing model views learning activities as embedded into, interwoven with, and even indistinguishable from everyday work processes. Learning is understood as an inherently social and collaborative activity. The Knowledge Maturing Process Model structures this process into five phases: expressing ideas, distributing in communities, formalizing, ad-hoc learning and standardization. It is applicable not only for content but also to process knowledge and semantics. In the MATURE IP two toolsets will be develop that support the maturing process: a personal learning environment and an organisation learning environment integrating the levels of individuals, communities and organisation. The development is guided by the SER theory of seeding, evolutionary growth and reseeding and is based on generally applicable maturing services.