A Context Model for Personal Knowledge Management Applications

  • Sven Schwarz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3946)


In the research project EPOS we build a pro-active, context-sensitive support system to aid the user with his knowledge work, which is mostly about searching, reading, creating, and archiving of documents. In order to avoid distracting the user, the context gathering is realized by installable user observation plugins for standard applications such as Mozilla Firefox and Thunderbird.

The main part of this paper is about the definition of a context model for the personal knowledge management domain. The context model incorporates only contextual elements relevant to satisfy the knowledge worker’s potential information need. It stores only information items known to the user (such as links to his own documents, folders, etc.), as well as, shared ontologies to assure an understanding of the context.

The context is modeled in RDF/S and can be retrieved by contextaware applications from the context support system via an XML-RPC call.


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  1. 1.
    Homepage of FRODO TaskMan,
  2. 2.
    Homepage of rdf2java,
  3. 3.
    Budzik, J., Hammond, K.J.: Watson: An infrastructure for providing task-relevant, just-in-time informationGoogle Scholar
  4. 4.
    Dengel, A., Abecker, A., Bähr, J.-T., Bernardi, A., Dannenmann, P., van Elst, L., Klink, S., Maus, H., Schwarz, S., Sintek, M.: Evolving Personal to Organizational Knowledge Spaces. Project Proposal, DFKI GmbH Kaiserslautern (2002)Google Scholar
  5. 5.
    van Elst, L., Abecker, A.: Integrating Task, Role, and User Modeling in Organizational Memories. In: 14 Int. FLAIRS Conference, Special Track on Knowledge Management, Key West, Florida, USA (May 2001)Google Scholar
  6. 6.
    van Elst, L., Aschoff, F.-R., Bernardi, A., Maus, H., Schwarz, S.: Weakly-structured workflows for knowledge-intensive tasks: An experimental evaluation. In: IEEE WETICE Workshop on Knowledge Management for Distributed Agile Processes: Models, Techniques, and Infrastructure (KMDAP 2003). IEEE Computer Press, Los Alamitos (2003)Google Scholar
  7. 7.
    Fenstermacher, K.D.: Revealed processes in knowledge management. In: Althoff, K.D., Dengel, A., Bergmann, R., Nick, M., Berghofer, T.R. (eds.) WM 2005. LNCS (LNAI), vol. 3782, pp. 443–454. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  8. 8.
    Holz, H., Maurer, F.: Knowledge management support for distributed agile software processes. In: Henninger, S., Maurer, F. (eds.) LSO 2002. LNCS, vol. 2640, pp. 60–80. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  9. 9.
    Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommelse, K.: The lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madison, WI, July 1998, pp. 256–265 (1998)Google Scholar
  10. 10.
    Rhodes, B.J.: Margin notes: Building a contextually aware associative memory. In: The Proceedings of the Internatial Conference on Intelligent User Interfaces, IUI 2000 (2000)Google Scholar
  11. 11.
    Sauermann, L.: The gnowsis-using semantic web technologies to build a semantic desktop. Diploma thesis, Technical University of Vienna (2003)Google Scholar
  12. 12.
    Sauermann, L., Schwarz, S.: Introducing the gnowsis semantic desktop. In: Proceedings of the International Semantic Web Conference 2004 (2004)Google Scholar
  13. 13.
    Schwarz, S., Roth-Berghofer, T.: Towards goal elicitation by user observation. In: Proceedings of the FGWM 2003 Workshop on Knowledge and Experience Management, Karlsruhe (2003)Google Scholar
  14. 14.
    Shkundina, R., Schwarz, S.: A similarity measure for task contexts. In: Proceedings of the Workshop Similarities - Processes - Workflows in conjunction with the 6th International Conference on Case-Based Reasoning, Chicago (2005)Google Scholar
  15. 15.
    Zacarias, M., Caetano, A., Sofia Pinto, H., Tribolet, J.: Modeling contexts for business process oriented knowledge support. In: Proceedings of the WM 2005 Workshop on Knowledge Management for Distributed Agile Processes (KMDAP 2005), Kaiserslautern (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sven Schwarz
    • 1
  1. 1.German Research Center for Artificial Intelligence (DFKI GmbH)KaiserslauternGermany

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