Context and Semantics for Knowledge Management: Technologies for Personal Productivity - Couverture souple
Synopsis
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.
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