Predicting SPARQL Query Performance and Explaining Linked Data

  • Rakebul Hasan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8465)

Abstract

As the complexity of the Semantic Web increases, efficient ways to query the Semantic Web data is becoming increasingly important. Moreover, consumers of the Semantic Web data may need explanations for debugging or understanding the reasoning behind producing the data. In this paper, firstly we address the problem of SPARQL query performance prediction. Secondly we discuss how to explain Linked Data in a decentralized fashion. Finally we discuss how to summarize the explanations.

Keywords

#eswcphd2014Hasan query performance explanation summarization 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rakebul Hasan
    • 1
  1. 1.INRIA Sophia AntipolisSophia-Antipolis CedexFrance

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