Database to Semantic Web Mapping Using RDF Query Languages

نویسندگان

  • Cristian Pérez de Laborda
  • Stefan Conrad
چکیده

One of the main drawbacks of the Semantic Web is the lack of semantically rich data, since most of the information is still stored in relational databases. In this paper, we present an approach to map legacy data stored in relational databases into the Semantic Web using virtually any modern RDF query language, as long as it is closed within RDF. Consequently, a Semantic Web developer does not need to learn and adopt a new mapping language, but he may perform the mapping task using his preferred RDF query language.

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تاریخ انتشار 2006