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Beyond Knowledge Management: Knowledge Services Innovation

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Data Engineering and Management (ICDEM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6411))

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Abstract

Knowledge Management is driven by the needs and requirement of new knowledge-driven economy. Its functions are how it be acquired, represented, exchanged, integrated and converted into useful knowledge. The intelligent use of knowledge and knowledge services are driven by the needs and requirement of creative-and-service-driven economy. The key functionalities of innovational services are how to provide personalized knowledge service and satisfy the individual demand. CyberBrain, a digital ecosystem for the execution of knowledge management and knowledge services innovation, is aimed to be a collaborative knowledge space interconnecting knowledge resources, organization and community best practices with the heterogenous expression. Domain specific ontologies and standard metadata are the basic elements through which Cyber Brain can deploy for integrating and aggregating the scattered knowledge sources. Moreover, Cyber Brain paid more attentions to provide one stop service and ubiquitous personalized knowledge service. This paper overviews some key technologies and methodologies emerging in knowledge engineering, ontology engineering, language engineering, including knowledge processing and utilizing model which meet the consumers’ knowledge demand of mobility and personality.

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References

  1. Kawtrakul, A., Pechsiri, C., Rajbhandari, S., Andres, F.: Problems-Solving Map Extraction with Collective Intelligence Analysis and Language Engineering. In: Prince, V., Roche, M. (eds.) Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, University of Montpellier and LIRMM-CNRS, France, pp. 325–343. IGI Book (2009) ISBN 978-1-60566-274-9

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© 2012 Springer-Verlag Berlin Heidelberg

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Kawtrakul, A. (2012). Beyond Knowledge Management: Knowledge Services Innovation. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_2

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  • DOI: https://doi.org/10.1007/978-3-642-27872-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27871-6

  • Online ISBN: 978-3-642-27872-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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