Predicting SPARQL Query Performance and Explaining Linked Data - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Predicting SPARQL Query Performance and Explaining Linked Data

Abstract

As the complexity of the Semantic Web increases, efficient ways to query the Semantic Web data is becoming increasingly impor-tant. Moreover, consumers of the Semantic Web data may need expla-nations 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 ex-planations.

Domains

Web
Fichier principal
Vignette du fichier
eswc2014-dc.pdf (885.88 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01075488 , version 1 (17-10-2014)

Identifiers

Cite

Rakebul Hasan. Predicting SPARQL Query Performance and Explaining Linked Data. 11th Extended Semantic Web Conference (ESWC2014), May 2014, Crete, Greece. pp.795 - 805, ⟨10.1007/978-3-319-07443-6_53⟩. ⟨hal-01075488⟩
270 View
196 Download

Altmetric

Share

Gmail Facebook X LinkedIn More