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Knowledge Acquisition for Importing Existing Traces to a Trace Base Management System

Author

Listed:
  • Mohamed Besnaci

    (LRI Laboratory, Department of Computer Science, University of Badji-Mokhtar, P. O. Box 12, Annaba, Algeria)

  • Tahar Bensebaa

    (LRI Laboratory, Department of Computer Science, University of Badji-Mokhtar, P. O. Box 12, Annaba, Algeria)

  • Nathalie Guin

    (Université de Lyon, CNRS Université Lyon1, LIRIS, UMR5205, F-69622, France)

  • Pierre-Antoine Champin

    (Université de Lyon, CNRS Université Lyon1, LIRIS, UMR5205, F-69622, France)

Abstract

Trace Base Management System (TBMS) offers processing and querying functionalities for traces that may be of interest to users of tracked systems. Our goal is to ensure the importing of various external traces into kernel for Trace-Based System (kTBS), which is a TBMS developed in the LIRIS laboratory. To overcome the problem of traces heterogeneity, we propose to define a generic collector. To this end, a user with enough knowledge of the tracked system is prompted to define its kTBS trace model and correspondences between the elements of this model and the elements of the trace to import. The system generalises the mappings previously elicited by the user through interaction to create mapping rules. After this phase, the collector will generate modelled traces from the existing ones and the already defined mapping rules.

Suggested Citation

  • Mohamed Besnaci & Tahar Bensebaa & Nathalie Guin & Pierre-Antoine Champin, 2018. "Knowledge Acquisition for Importing Existing Traces to a Trace Base Management System," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-17, December.
    • Handle: RePEc:wsi:jikmxx:v:17:y:2018:i:04:n:s0219649218500417
    DOI: 10.1142/S0219649218500417
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