The Community for Technology Leaders
Green Image
Issue No. 01 - January/February (2011 vol. 15)
ISSN: 1089-7801
pp: 31-39
Yannis Theoharis , Forth-ICS
Irini Fundulaki , Forth-ICS
Capturing trustworthiness, reputation, and reliability of Semantic Web data manipulated by SPARQL requires researchers to represent adequate provenance information, usually modeled as source data annotations and propagated to query results along with a query evaluation. Alternatively, abstract provenance models can capture the relationship between query results and source data by taking into account the employed query operators. The authors argue the benefits of the latter for settings in which query results are materialized in several repositorwies and analyzed by multiple users. They also investigate how relational provenance models can be leveraged for SPARQL queries, and advocate for new provenance models.
Provenance, SPARQL, Semantic Web, trustworthiness, reliability, relational provenance

I. Fundulaki, Y. Theoharis, V. Christophides and G. Karvounarakis, "On Provenance of Queries on Semantic Web Data," in IEEE Internet Computing, vol. 15, no. , pp. 31-39, 2010.
94 ms
(Ver 3.3 (11022016))