UMBC ebiquity

Tracking RDF Graph Provenance using RDF Molecules

Authors: Li Ding, Tim Finin, Anupam Joshi, Yun Peng, Paulo Pinheiro da Silva, and Deborah L. McGuinness

Book Title: Proceedings of the 4th International Semantic Web Conference

Date: November 07, 2005

Abstract: Tracking the provenance of an RDF graph requires finding all supporting sources and rejecting all irrelevant ones, but neither RDF document nor triple is appropriate. Therefore, we approach this goal using lossless decomposition of RDF graph at RDF molecule granularity, which is the finest and lossless sub-graph of an RDF graph. We also implements three decomposition strategies a prototype RDF graph provenance service covering 50M real world triples collected by Swoogle.

Type: InProceedings

Note: Poster paper. A longer version is available as a Technical report

Tags: semantic web, owl, rdf, swoogle, provenance, trust, pml

Google Scholar: rKC8ObKgutgJ

Number of Google Scholar citations: 47 [show citations]

Number of downloads: 5130

 

Available for download as


size: 64526 bytes

size: 451584 bytes
 

Related Projects:

Past Projects

 Semantic Discovery: Discovering Complex Relationships in Semantic Web.
 Swoogle.