Search (4 results, page 1 of 1)

  • × author_ss:"Lindstaedt, S.N."
  1. Lindstaedt, S.N.; Thurner, C.: Web-gestütztes Social Networking am Beispiel der "Plattform Wissensmanagement" (2009) 0.00
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    Source
    Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
    Type
    a
  2. Lindstaedt, S.N.; Ulbrich, A.: Integration von Arbeiten und Lernen : Kompetenzentwicklung in Arbeitsprozessen (2006) 0.00
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    Source
    Semantic Web: Wege zur vernetzten Wissensgesellschaft. Hrsg.: T. Pellegrini, u. A. Blumauer
    Type
    a
  3. Strohmaier, M.; Lindstaedt, S.N.: Knowledge infrastructures for the support of knowledge intensive business processes (2005) 0.00
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    Abstract
    The area of business process oriented knowledge infrastructures aims to design and develop infrastructures that provide support for knowledge intensive business processes in organizations. Technological systems, such as information systems or knowledge technologies, represent a promising instrument and fundament for that purpose. However, the effective application of these technologies in organizational contexts is a pressing and current research challenge. Concrete questions in this field include but are not limited to knowledge oriented business process modeling and -optimization, integration of process-, task- and information management as well as business process communication and visualization. The emergence of these challenges led to the development of the Business Process Oriented Knowledge Infrastructures (BPOKI) special track series, which started in 2004 and continued successfully in 2005 in Graz, Austria. The special issue "Knowledge Infrastructures for the Support of Knowledge Intensive Business Processes" makes elaborated versions of five selected contributions of BPOKI'05 available (http://www.i-know.at/BPOKI).
    Type
    a
  4. Scheir, P.; Pammer, V.; Lindstaedt, S.N.: Information retrieval on the Semantic Web : does it exist? (2007) 0.00
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    Abstract
    Plenty of contemporary attempts to search exist that are associated with the area of Semantic Web. But which of them qualify as information retrieval for the Semantic Web? Do such approaches exist? To answer these questions we take a look at the nature of the Semantic Web and Semantic Desktop and at definitions for information and data retrieval. We survey current approaches referred to by their authors as information retrieval for the Semantic Web or that use Semantic Web technology for search.
    Type
    a

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