Database to Semantic Web Mapping Using RDF Query Languages

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. 1 Motivation Despite the vision of a Semantic Web [6] and many efforts helping to realize it, the actual Semantic Web still lacks of enough semantic data. Most information is still modeled and stored in relational databases and thus out of reach for many Semantic Web applications. As a consequence, such applications need to create a corresponding mapping between the relational and the semantic models by themselves for being able to access relational data. Realizing this situ...

• Type: Conference
• Year: 2006
• Where: ER
• Authors: Cristian Pérez de Laborda, Stefan Conrad
• Keywords: Database, ER 2006, Relational Database, Semantic Web, Semantic Web Applications