Abstract
One of the key challenges of knowledge management is to provide the right knowledge to the right person at the right time. To face this challenge, a context based search platform was developed in the frame of the European Integrated Project VIVACE. This platform is based on the identification of a user context and the subsequent pushing of applicable knowledge to that particular user. We introduce a context model to represent the user’s context. This context model is used to describe the context of an engineer working in a specific company. Further, we developed means to index available knowledge based on company engineering context and means to search for knowledge applicable to the user’s context. Since it is not always possible to describe in which context the knowledge assets should be applied, we added learning capabilities which enable the system to learn the applicability of specific knowledge to a user’s context based on user feedback.
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References
Value Improvement through a Virtual Aeronautical Collaborative Entreprise.: www.vivaceproject.com
Schreiber, G., Akkermans, H., Anjewierden, A., de Hoog, R., Shadbolt, N., Van de Velde, W., Wielinga, B.: Knowledge Engineering and Management: the CommonKADS Methodology. MIT Press, Cambridge (2000)
Callot, M., Oldham, K., Stokes, M., Godwin, N., Brimble, R., Klein, R., Sellini, F., Merceron, F., Danino, D., MOKA,: - Methodology and Tools Oriented to Knowledge based Engineering. Project EP, 8 Public report N 2 (2541)
Bazire, M., Brézillon, P.: Understanding Context Before Using It. In: Dey, A.K., Kokinov, B., Leake, D.B., Turner, R. (eds.) CONTEXT 2005. LNCS (LNAI), vol. 3554, Springer, Heidelberg (2005)
Dey, A.K, Abowd, G.D.: Toward a Better Understanding of Context and Context Awareness (1999)
Lelouma, T., layaïda N.: Context Aware Adaptation for Mobile Devices (2004)
Kirsch-Pinheiro, M., Villanova-Olivier, M., Gensel, J., Martin, H.: Representing Context for an Adaptive Awareness Mechanism. In: de Vreede, G.-J., Guerrero, L.A., Marín Raventós, G. (eds.) CRIWG 2004. LNCS, vol. 3198, Springer, Heidelberg (2004)
Edmonds, B.: The Pragmatic Roots of Context (1999)
Longueville, B., Gardoni, M.: A Survey of Context Modeling: Approaches, Theories and Use for Engineering Design Researches. In: Blackburn, P., Ghidini, C., Turner, R.M., Giunchiglia, F. (eds.) CONTEXT 2003. LNCS, vol. 2680, Springer, Heidelberg (2003)
Watson, I., Marir, F.: Case based Reasoning: a review. The knowledge Engineering review (1994)
Kirsch-Pinheiro, M., Villanova-Olivier, M., Gensel, J., Martin, H.: Context-aware Filtering for Collaborative Web Systems: Adapting the Awareness Information to the User’s Context. In: Preneel, B., Tavares, S. (eds.) SAC 2005. LNCS, vol. 3897, Springer, Heidelberg (2006)
Leake, D., Maguitman, A., Reichherzer, T.: Exploiting Rich Context: An incremental Approach to Context-Based Web Search. In: Blackburn, P., Ghidini, C., Turner, R.M., Giunchiglia, F. (eds.) CONTEXT 2003. LNCS, vol. 2680, Springer, Heidelberg (2003)
Nguyen, V.T., Feru, F., Guellec, P., Yannou, B.: Engineering Data Management for extended enterprise - Context of the European VIVACE Project. In: PLM 2006 International Conference (2006)
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Redon, R., Larsson, A., Leblond, R., Longueville, B. (2007). VIVACE Context Based Search Platform. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds) Modeling and Using Context. CONTEXT 2007. Lecture Notes in Computer Science(), vol 4635. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74255-5_30
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DOI: https://doi.org/10.1007/978-3-540-74255-5_30
Publisher Name: Springer, Berlin, Heidelberg
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