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Discovering Simple Mappings Between Relational Database Schemas and Ontologies

by: Wei Hu and Yuzhong Qu

In: Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea , Vol. 4825Berlin, Heidelberg: Springer Verlag , November (2007) , p. 225--238.

Resources (URL, PDF, PS...)

URL:	http://iswc2007.semanticweb.org/papers/225.pdf

Abstract

Ontologies proliferate with the growth of the Semantic Web. However, most of data on the Web are still stored in relational databases. Therefore, it is important to establish interoperability between relational databases and ontologies for creating a Web of data. An effective way to achieve interoperability is finding mappings between relational database schemas and ontologies. In this paper, we propose a new approach to discovering simple mappings between a relational database schema and an ontology. It exploits simple mappings based on virtual documents, and eliminates incorrect mappings via validating mapping consistency. Additionally, it also constructs a special type of semantic mappings, called contextual mappings, which is useful for practical applications. Experimental results demonstrate that our approach performs well on several data sets from real world domains.

BibTeX record

@inproceedings{Hu/2007/Discovering,
  address = {Berlin, Heidelberg},
  author = {Wei Hu and Yuzhong Qu},
  booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
  crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
  editor = {Karl Aberer and Key-Sun Choi and Natasha Noy and Dean Allemang and Kyung-Il Lee and Lyndon J B Nixon and Jennifer Golbeck and Peter Mika and Diana Maynard and Guus Schreiber and Philippe Cudré-Mauroux},
  interHash = {f17209ae1f2b8b36f25557fbbfed84b4},
  intraHash = {e403fb006c4d527aac4975c6c57f0756},
  pages = {225--238},
  publisher = {Springer Verlag},
  series = {LNCS},
  title = {Discovering Simple Mappings Between Relational Database Schemas and Ontologies},
  url = {http://iswc2007.semanticweb.org/papers/225.pdf},
  volume = {4825},
  year = {2007},
  month = {November},
  abstract = {Ontologies proliferate with the growth of the Semantic Web. However, most of data on the Web are still stored in relational databases. Therefore, it is important to establish interoperability between relational databases and ontologies for creating a Web of data. An effective way to achieve interoperability is finding mappings between relational database schemas and ontologies. In this paper, we propose a new approach to discovering simple mappings between a relational database schema and an ontology. It exploits simple mappings based on virtual documents, and eliminates incorrect mappings via validating mapping consistency. Additionally, it also constructs a special type of semantic mappings, called contextual mappings, which is useful for practical applications. Experimental results demonstrate that our approach performs well on several data sets from real world domains.}
}

Endnote record

%0 Conference Paper
%1 Hu/2007/Discovering
%A Wei Hu
%A Yuzhong Qu
%B Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea
%C Berlin, Heidelberg
%D 2007
%E Karl Aberer
%E Key-Sun Choi
%E Natasha Noy
%E Dean Allemang
%E Kyung-Il Lee
%E Lyndon J B Nixon
%E Jennifer Golbeck
%E Peter Mika
%E Diana Maynard
%E Guus Schreiber
%E Philippe Cudré-Mauroux
%I Springer Verlag
%K 
%P 225--238
%T Discovering Simple Mappings Between Relational Database Schemas and Ontologies
%U http://iswc2007.semanticweb.org/papers/225.pdf
%V 4825
%X Ontologies proliferate with the growth of the Semantic Web. However, most of data on the Web are still stored in relational databases. Therefore, it is important to establish interoperability between relational databases and ontologies for creating a Web of data. An effective way to achieve interoperability is finding mappings between relational database schemas and ontologies. In this paper, we propose a new approach to discovering simple mappings between a relational database schema and an ontology. It exploits simple mappings based on virtual documents, and eliminates incorrect mappings via validating mapping consistency. Additionally, it also constructs a special type of semantic mappings, called contextual mappings, which is useful for practical applications. Experimental results demonstrate that our approach performs well on several data sets from real world domains.