@INPROCEEDINGS{Flouris2009,
  author = {Flouris, G. and Fundulaki, I. and Pediaditis, P. and Theoharis, Y.
	and Christophides, V.},
  title = {{Coloring RDF Triples to Capture Provenance}},
  booktitle = {Procs. ISWC},
  year = {2009},
  pages = {196--212},
  abstract = {Recently, the W3C Linking Open Data effort has boosted the pub- lication
	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 be- comes 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 col- ored RDF triples represented as quadruples to capture
	and manipulate explicit provenance information.},
  file = {:C$\backslash$:/Users/Dani/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Flouris et al. - 2009 - Coloring RDF Triples to Capture Provenance.pdf:pdf},
  keywords = {\#attribution,\#content,\#Data\_Provenance,\#disease\_outbreak,\#Entailment,\#Lineage,\#RDF\_Provenance,\#Trust\_Assessment},
  mendeley-tags = {\#attribution,\#content,\#Data\_Provenance,\#disease\_outbreak,\#Entailment,\#Lineage,\#RDF\_Provenance,\#Trust\_Assessment}
}

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