Parallel data loading during querying deep web and linked open data with SPARQL

Pauline Folz, Gabriela Montoya, Hala Skaf-Molli, Pascal Molli, Maria Esther Vidal

Research output: Contribution to journalConference article in JournalResearchpeer-review

Abstract

Web integration systems are able to provide transparent and uniform access to heterogeneous Web data sources by integrating views of Linked Data, Web Service results, or data extracted from the Deep Web. However, given the potential large number of views, query engines of Web integration systems have to implement execution techniques able to scale up to real-world scenarios and efficiently execute queries. We tackle the problem of SPARQL query processing against RDF views, and propose a non-blocking query execution strategy that incrementally accesses and merges the views relevant to a SPARQL query in a parallel fashion. The proposed strategy is implemented on top of Jena 2.7.4, and empirically compared with SemLAV, a sequential SPARQL query engine on RDF views. Results suggest that our approach outperforms SemLAV in terms of the number of answers produced per unit of time.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1457
Pages (from-to)63-77
Number of pages15
ISSN1613-0073
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event11th International Workshop on Scalable Semantic Web Knowledge Base Systems, SSWS 2015 - co-located with 14th International Semantic Web Conference, ISWC 2015 - Bethlehem, United States
Duration: 11 Oct 2015 → …

Conference

Conference11th International Workshop on Scalable Semantic Web Knowledge Base Systems, SSWS 2015 - co-located with 14th International Semantic Web Conference, ISWC 2015
Country/TerritoryUnited States
CityBethlehem
Period11/10/2015 → …

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