Querying Heterogeneous Relational Database using SPARQL

Shanghai(2009)

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摘要
The emergence of the Semantic Web has given rise to several researches on semantic integration of heterogeneous relational databases using ontology. This paper studies the query rewriting problem in such an integration scenario. RDF’s graph model lends itself well to expressing relational data. To model the relational schema, we propose a data source describing method based on SPARQL graph patterns and give some principles for semantic mapping between relational schema and RDF ontology. The semantic of query rewriting is further discussed and a query rewriting algorithm is presented so that SPARQL can access heterogeneous relational databases without converting the data into physical triples.
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关键词
relational schema,relational data,graph model,sparql graph pattern,querying heterogeneous relational database,heterogeneous relational databases,semantic integration,rdf ontology,semantic mapping,data source,integration scenario,automation,data integration,data models,graph theory,information science,relational database,ontologies,data mining,sql,database languages,sparql,relational databases,data integrity,semantic web,distributed databases,engines,resource description framework,ontology
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