Welcome to the Homepage of the tRDF Project
The tRDF framework provides tools to deal with the trustworthiness of
RDF data.
Mission Statement
We will develop interfaces and corresponding add-ons to existing RDF
frameworks such as Jena. Additionally, we want to create a user
interface that enables end-users to assess the trustworthiness of RDF
data and to access and utilize these ratings.
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Publications
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Jun Zhao and Olaf Hartig:
Towards Interoperable Provenance Publication on the Linked Data Web.
In Proceedings of the 5th Linked Data on the Web (LDOW) Workshop at the World Wide Web Conference (WWW), Lyon, France,
Apr 2012
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Olaf Hartig and Jun Zhao:
Publishing and Consuming Provenance Metadata on the Web of Linked Data.
In Proceedings of the 3rd International Provenance and Annotation Workshop (IPAW), Troy, New York, USA,
Jun. 2010
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Olaf Hartig:
Towards a Data-Centric Notion of Trust in the Semantic Web (A Position Statement).
Proceedings of the 2nd Workshop on Trust and Privacy on the Social and Semantic Web (SPOT) at the 7th Extended Semantic Web Conference (ESWC), Heraklion, Greece,
May 2010
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Olaf Hartig and Jun Zhao,
Using Web Data Provenance for Quality Assessment,
In Proceedings of the 1st Int. Workshop on the Role of Semantic Web in Provenance Management (SWPM) at the International Semantic Web Conference (ISWC), Washington, DC, USA,
Oct 2009
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Olaf Hartig,
Querying Trust in RDF Data with tSPARQL,
In Proceedings of the 6th European Semantic Web Conference (ESWC), Heraklion, Greece,
June 2009
(Best Paper Award winner)
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Olaf Hartig,
Provenance Information in the Web of Data,
In Proceedings of the Linked Data on the Web (LDOW) Workshop at the World Wide Web Conference (WWW), Madrid, Spain,
April 2009
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Olaf Hartig,
Trustworthiness of Data on the Web,
In Proceedings of the STI Berlin & CSW PhD Workshop, Berlin, Germany,
September 2008
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Olaf Hartig,
Specification for tSPARQL,
December 2008
This document specifies the trust-aware query language
tSPARQL. tSPARQL extends the RDF query language SPARQL to query the trustworthiness of RDF data.
Team
Olaf Hartig
Links