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Context-Aware, Proactive Delivery of Task-Specific Information: The KnowMore Project

Author

Listed:
  • Andreas Abecker

    (German Research Center for Artificial Intelligence (DFKI) GmbH)

  • Ansgar Bernardi

    (German Research Center for Artificial Intelligence (DFKI) GmbH)

  • Knut Hinkelmann

    (German Research Center for Artificial Intelligence (DFKI) GmbH)

  • Otto Ku¨hn

    (German Research Center for Artificial Intelligence (DFKI) GmbH)

  • Michael Sintek

    (German Research Center for Artificial Intelligence (DFKI) GmbH)

Abstract

From an IT point of view, a key objective of successful knowledge management is to provide relevant and necessary information at the right time to support humans in accomplishing their tasks. This paper presents a prototypical system which meets this objective in an enterprise environment. Based on context information associated with the enterprise's business processes, an integration of workflow engine and information assistant enables active presentation of relevant information to the user. We describe the functionality of the system and elaborate (i) on necessary extensions to the business process models, (ii) the ontologies used for information modeling, and (iii) the integration of workflow engine and active information assistant. The prototype system has been developed in the KnowMore project of the DFKI Knowledge Management Group.

Suggested Citation

  • Andreas Abecker & Ansgar Bernardi & Knut Hinkelmann & Otto Ku¨hn & Michael Sintek, 2000. "Context-Aware, Proactive Delivery of Task-Specific Information: The KnowMore Project," Information Systems Frontiers, Springer, vol. 2(3), pages 253-276, October.
    • Handle: RePEc:spr:infosf:v:2:y:2000:i:3:d:10.1023_a:1026564510897
    DOI: 10.1023/A:1026564510897
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    Citations

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    Cited by:

    1. Jun Sun, 2020. "Ubiquitous Computing Capabilities and User-System Interaction Readiness: An Activity Perspective," Information Systems Frontiers, Springer, vol. 22(1), pages 259-271, February.
    2. Hong Joo Lee & Hyung Jun Ahn & Jong Woo Kim & Sung Joo Park, 2006. "Capturing and reusing knowledge in engineering change management: A case of automobile development," Information Systems Frontiers, Springer, vol. 8(5), pages 375-394, December.
    3. Jan Claes & Irene Vanderfeesten & Frederik Gailly & Paul Grefen & Geert Poels, 2015. "The Structured Process Modeling Theory (SPMT) a cognitive view on why and how modelers benefit from structuring the process of process modeling," Information Systems Frontiers, Springer, vol. 17(6), pages 1401-1425, December.

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