Title :
Fuzzy Web Data Tables Integration Guided by an Ontological and Terminological Resource
Author :
Buche, Patrice ; Dibie-Barthelemy, J. ; Ibanescu, L. ; Soler, Luciana
Author_Institution :
LIRMM, INRA, Montpellier, France
Abstract :
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.
Keywords :
Internet; SQL; XML; collections of physical data; data integration; data warehouses; fuzzy set theory; ontologies (artificial intelligence); query processing; ONDINE system; OTR; RDF data warehouse; SPARQL; Web documents; XML data warehouse; XML documents; approximate answers; flexible querying system; fuzzy RDF annotations; fuzzy Web data tables integration; fuzzy sets; local data sources; ontological and terminological resource; query processing; semiautomatic method; Data mining; Data warehouses; OWL; Ontologies; Resource description framework; Semantics; XML; "fuzzy"; Knowledge and data engineering tools and techniques; XML/XSL/RDF; and probabilistic reasoning; and transforms; data structures; knowledge modeling; representations; uncertainty;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
DOI :
10.1109/TKDE.2011.245
