Exclusive technique for stocking and probing data table integration using the Internet

The highly successful architecture and protocols of today´s Internet may operate poorly in environments characterized by very long delay paths. People are great sources of unique information, especially that which is location-specific, community-specific and time-specific. We extant the design of ONDINE system which allows the loading and the querying of a data warehouse opened on the Web, directed by an Ontological and Terminological Resource (OTR). The ONtology-based Data INtEgration (ONDINE), using the semantic Web framework and language recommendations, which implement the entire management system, to supplement existing local data sources with data tables which have been extracted from Web documents. ONDINE system trusts on an Ontological and Terminological Resource (OTR). In Chief, 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. This system relies on SPARQL and allows approximate answers to be retrieved. to compare old and new data, if there is any modification occurs, then the new document updated as the RDF file.