SPARQL Query Result Explanation for Linked Data

Rakebul Hasan 1 Kemele M. Endris 1 Fabien Gandon 1
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : In this paper, we present an approach to explain SPARQL query results for Linked Data using why-provenance. We present a non-annotation-based algorithm to generate why-provenance and show its feasibility for Linked Data. We present an explanation-aware federated query processor prototype and show the presentation of our explanations. We present a user study to evaluate the impacts of our explanations. Our study shows that our query result explanations are helpful for end users to understand the result derivations and make trust judgments on the results.
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Rakebul Hasan, Kemele M. Endris, Fabien Gandon. SPARQL Query Result Explanation for Linked Data. Semantic Web Collaborative Spaces Workshop 2014 (SWCS 2014), co-located with the 13th International Semantic Web Conference (ISWC 2014), Oct 2014, Riva del Garda, Italy. ⟨hal-01075491⟩

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