Full Description
Knowledge and information are among the biggest assets of enterprises and organizations. However, efficiently managing, maintaining, accessing, and reusing this intangible treasure is difficult. Information overload makes it difficult to focus on the information that really matters; the fact that much corporate knowledge only resides in employees' heads seriously hampers reuse.
The work described in this book is motivated by the need to increase the productivity of knowledge work. Based on results from the EU-funded ACTIVE project and complemented by recent related results from other researchers, the application of three approaches is presented: the synergy of Web 2.0 and semantic technology; context-based information delivery; and the use of technology to support informal user processes. The contributions are organized in five parts. Part I comprises a general introduction and a description of the opportunities and challenges faced by organizations in exploiting Web 2.0 capabilities. Part II looks at the technologies, and also some methodologies, developed in ACTIVE. Part III describes how these technologies have been evaluated in three case studies within the project. Part IV starts with a chapter describing the principal market trends for knowledge management solutions, and then includes a number of chapters describing work complementary to ACTIVE. Finally, Part V draws conclusions and indicates further areas for research.
Overall, this book mainly aims at researchers in academia and industry looking for a state-of-the-art overview of the use of semantic and Web 2.0 technologies for knowledge management and personal productivity. Practitioners in industry will also benefit, in particular from the case studies which highlight cutting-edge applications in these fields.
Contents
Part I - Addressing the challenges of knowledge work.- Introduction.- Web 2.0 and network intelligence.- Part II - ACTIVE technologies and methodologies.- Enterprise knowledge structures.- Using cost-benefit information in ontology engineering projects.- Managing and understanding context.- Machine learning techniques for understanding context and process.- Part III - Applying and validating the ACTIVE technologies.- Increasing productivity in the customer-facing environment.- Machine learning and lightweight semantics to improve enterprise search and knowledge management.- Increasing predictability and sharing tacit knowledge in electronic design.- Part IV - Complementary activities.- Some market trends for knowledge management solutions.- Applications of semantic wikis.- The NEPOMUK semantic desktop.- Context-aware recommendation for work-integrated learning.- Evolving metaphors for managing and interacting with digital information.- Part V - Conclusions.- Conclusions.
