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Coloring RDF Triples to Capture Provenance

by: Giorgos Flouris, Irini Fundulaki, Panagiotis Pediaditis, Yannis Theoharis, and Vassilis Christophides

In: The Semantic Web - ISWC 2009, Vol. 5823Springer (2009) , p. 196--212.

Abstract

Recently, the W3C Linking Open Data effort has boosted the publication and inter-linkage of large amounts of RDF datasets on the Semantic Web. Various ontologies and knowledge bases with millions of RDF triples from Wikipedia and other sources, mostly in e-science, have been created and are publicly available. Recording provenance information of RDF triples aggregated from different heterogeneous sources is crucial in order to effectively support trust mechanisms, digital rights and privacy policies. Managing provenance becomes even more important when we consider not only explicitly stated but also implicit triples through RDFS inference rules in conjunction with declarative languages for querying and updating RDF graphs. In this paper we rely on colored RDF triples represented as quadruples to capture and manipulate explicit provenance information.

BibTeX record

@inproceedings{flouris2009,
  abstract = {Recently, the W3C Linking Open Data effort has boosted the publication and inter-linkage of large amounts of RDF datasets on the Semantic Web. Various ontologies and knowledge bases with millions of RDF triples from Wikipedia and other sources, mostly in e-science, have been created and are publicly available. Recording provenance information of RDF triples aggregated from different heterogeneous sources is crucial in order to effectively support trust mechanisms, digital rights and privacy policies. Managing provenance becomes even more important when we consider not only explicitly stated but also
implicit triples (through RDFS inference rules) in conjunction with declarative languages for querying and updating RDF graphs. In this paper we rely on colored RDF triples represented as quadruples to capture and manipulate explicit provenance information.},
  added-at = {2009-11-03T13:33:14.000+0100},
  author = {Flouris, Giorgos and Fundulaki, Irini and Pediaditis, Panagiotis and Theoharis, Yannis and Christophides, Vassilis},
  biburl = {http://www.bibsonomy.org/bibtex/2b4fdc48fdd7feb5db38953a8cdac5688/ivan_herman},
  booktitle = {The Semantic Web - ISWC 2009},
  editor = {Bernstein, Abraham and Karger, David R. and Heath, Tom and Feigenbaum, Lee and Maynard, Diana and Motta, Enrico and Thirunarayan, Krishnaprasad},
  interhash = {a91948624933536d19c6d66e06f6d302},
  intrahash = {b4fdc48fdd7feb5db38953a8cdac5688},
  isbn = {978-3-642-04929-3},
  keywords = {provenance rdf semanticweb},
  location = {Heidelberg},
  pages = {196--212},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2009-11-03T13:33:14.000+0100},
  title = {Coloring RDF Triples to Capture Provenance},
  volume = 5823,
  year = 2009
}

Endnote record

%0 Conference Paper
%1 flouris2009
%A Flouris, Giorgos
%A Fundulaki, Irini
%A Pediaditis, Panagiotis
%A Theoharis, Yannis
%A Christophides, Vassilis
%B The Semantic Web - ISWC 2009
%@ 978-3-642-04929-3
%D 2009
%E Bernstein, Abraham
%E Karger, David R.
%E Heath, Tom
%E Feigenbaum, Lee
%E Maynard, Diana
%E Motta, Enrico
%E Thirunarayan, Krishnaprasad
%I Springer
%K 
%P 196--212
%T Coloring RDF Triples to Capture Provenance
%V 5823
%X Recently, the W3C Linking Open Data effort has boosted the publication and inter-linkage of large amounts of RDF datasets on the Semantic Web. Various ontologies and knowledge bases with millions of RDF triples from Wikipedia and other sources, mostly in e-science, have been created and are publicly available. Recording provenance information of RDF triples aggregated from different heterogeneous sources is crucial in order to effectively support trust mechanisms, digital rights and privacy policies. Managing provenance becomes even more important when we consider not only explicitly stated but also
implicit triples (through RDFS inference rules) in conjunction with declarative languages for querying and updating RDF graphs. In this paper we rely on colored RDF triples represented as quadruples to capture and manipulate explicit provenance information.