Tracking RDF Graph Provenance using RDF Molecules

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

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.

Date: November 07, 2005

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

Type: InProceedings

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

Google scholar: rKC8ObKgutgJ

Google citations: 15 citations

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Bibtex

@InProceedings{Tracking_RDF_Graph_Provenance_using_RDF_,
author = "Li Ding and Tim Finin and Anupam Joshi and Yun Peng and Paulo Pinheiro da Silva and Deborah L. McGuinness",
title = "{Tracking RDF Graph Provenance using RDF Molecules}",
month = "November",
year = "2005",
note = "Poster paper. A longer version is available as a Technical report",
booktitle = "Proceedings of the 4th International Semantic Web Conference",
}