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Fuzzy Web Data Tables Integration Guided by an Ontological and Terminological Resource
April 2013 (vol. 25 no. 4)
pp. 805-819
Patrice Buche, UMR INRA IATE and LIRMM, Montpellier
Juliette Dibie-Barthelemy, INRA Metarisk, Paris
Liliana Ibanescu, INRA Metarisk, Paris
Lydie Soler, INRA Metarisk, Paris
In this paper, we present the design of ONDINE system which allows the loading and the querying of a data warehouse opened on the Web, guided by an Ontological and Terminological Resource (OTR). The data warehouse, composed of data tables extracted from Web documents, has been built to supplement existing local data sources. First, we present the main steps of our semiautomatic method to annotate data tables driven by an OTR. The output of this method is an XML/RDF data warehouse composed of XML documents representing data tables with their fuzzy RDF annotations. We then present our flexible querying system which allows the local data sources and the data warehouse to be simultaneously and uniformly queried, using the OTR. This system relies on SPARQL and allows approximate answers to be retrieved by comparing preferences expressed as fuzzy sets with fuzzy RDF annotations.
Index Terms:
Ontologies,Resource description framework,Semantics,Data mining,OWL,XML,Data warehouses,knowledge modeling,Knowledge and data engineering tools and techniques,XML/XSL/RDF,uncertainty,"fuzzy",and probabilistic reasoning,representations,data structures,and transforms
Citation:
Patrice Buche, Juliette Dibie-Barthelemy, Liliana Ibanescu, Lydie Soler, "Fuzzy Web Data Tables Integration Guided by an Ontological and Terminological Resource," IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 4, pp. 805-819, April 2013, doi:10.1109/TKDE.2011.245
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