Semantic Integration of Relational Data Using SPARQL

Author

Wang, Jinpeng ; Miao, Zhuang ; Zhang, Yafei ; Lu, Jianjiang

Author_Institution

Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing

Volume

1

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

422

Lastpage

426

Abstract

Data integration is the main problem encountered by applications that need to query across multiple autonomous and heterogeneous data sources. This paper addresses this problem using logic-based approach. We present a semantic integration infrastructure for relational data. In this integration infrastructure, ontology is used as the mediated schema. The formal semantics of SPARQL is defined according to the W3C candidate recommendation and translation algorithm from SPARQL to datalog is provided. A query rewriting algorithm based on datalog is also provided for heterogeneous data integration.

Keywords

DATALOG; ontologies (artificial intelligence); query processing; relational databases; rewriting systems; semantic Web; Datalog; SPARQL; heterogeneous data source; multiple autonomous data source; ontology; query rewriting algorithm; relational database; semantic data integration; translation algorithm; Automation; Information technology; Ontologies; Programmable logic arrays; Proposals; Relational databases; Research and development; Vocabulary; XML; Data Integration; Datalog; Query Rewriting; SPARQL;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3497-8

Type

conf

DOI

10.1109/IITA.2008.72

Filename

4739608