Pervasive Knowledge Discovery: Continuous Lifelong Learning by Matching Needs, Requirements and Resources

نویسندگان

  • Matthias O. Will
  • Christopher Lech
چکیده

The discovery of relevant knowledge resources is a remaining problem in large enterprises, where the same problems are often addressed in different locations. In this paper, we propose an enabling infrastructure, which can succcessfully help in discovering personally relevant learning resources (e. g. electronic documents, colleagues, seminars). By using our mobile gotchi framework (MGF), matching between learning requirements and learning resources is improved. The basic idea is autonomous information exchange between agents acting on behalf of their users to proactively find appropriate resources to support daily problem-solving and learning. By sharing personal profiles in an enterprise-specific ontology network, which is autonomously updated, corporate knowledge flows are more transparently represented.

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تاریخ انتشار 2004