Context and Semantics for Knowledge Management Technologies for Personal Productivity /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Warren, Paul (Επιμελητής έκδοσης), Davies, John (Επιμελητής έκδοσης), Simperl, Elena (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Artificial intelligence.; Application software.; Computer Science.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).; IT in Business.; Computer Appl. in Administrative Data Processing.

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 mu...

Πίνακας περιεχομένων:

• 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.