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Data Reliability Assessment in a Data Warehouse Opened on the Web

  • Sébastien Destercke
  • Patrice Buche
  • Brigitte Charnomordic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7022)

Abstract

This paper presents an ontology-driven workflow that feeds and queries a data warehouse opened on the Web. Data are extracted from data tables in Web documents. As web documents are very heterogeneous in nature, a key issue in this workflow is the ability to assess the reliability of retrieved data. We first recall the main steps of our method to annotate and query Web data tables driven by a domain ontology. Then we propose an original method to assess Web data table reliability from a set of criteria by the means of evidence theory. Finally, we show how we extend the workflow to integrate the reliability assessment step.

Keywords

Data Warehouse Domain Ontology Belief Function Evidence Theory SPARQL Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sébastien Destercke
    • 1
    • 2
  • Patrice Buche
    • 1
    • 2
  • Brigitte Charnomordic
    • 1
    • 2
  1. 1.UMR IATE and MISTEAMontpellierFrance
  2. 2.LIRMM, CNRS-UM2MontpellierFrance

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