JOURNAL ARTICLE

Key Processing of SPARQL-to-SQL Query Rewriting

Hao JiangWenju LiuLu Li-LiLiu Jian-gang

Year: 2012 Journal:   International Conference on Electric Information and Control Engineering Pages: 498-501

Abstract

How to efficiently implement the SPARQL-to-SQL query rewriting has became a serious problem in getting access to the Semantic Web dynamically. The paper aims at solution on achieving the SPARQL-to-SQL query rewriting. First, the paper describes the building of the RDF for the relational database. Then, it talks about the construction of the basic framework of SPARQL-to-SQL query rewriting based on RDF views, which covers the key technologies of SPARQL-to-SQL query rewriting in rewriting the SPARQL statements to SQL statements through establishing a series of processes: the SPARQL query model graph, and SPARQL query mapping graph. Thirdly, the paper touches the query result from relational database with generated SQL statements. Finally, the paper finds a satisfactory result for customers with RDF data in returning the query results.

Keywords:
SPARQL Computer science Named graph Query by Example RDF query language SQL Information retrieval Language Integrated Query Query language Query optimization RDF Rewriting Sargable Database Web search query Programming language Web query classification Semantic Web Search engine

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Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications

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