Sempala: Interactive SPARQL Query Processing on Hadoop

Abstract: Driven by initiatives like Schema.org, the amount of semantically annotated data is expected to grow steadily towards massive scale, requiring cluster-based solutions to query it. At the same time, Hadoop has become dominant in the area of Big Data processing with large infrastructures being already deployed and used in manifold application fields. For Hadoop-based applications, a common data pool (HDFS) provides many synergy benefits, making it very attractive to use these infrastructures for semantic data processing as well. Indeed, existing SPARQL-on-Hadoop (MapReduce) approaches have already demonstrated very good scalability, however, query runtimes are rather slow due to the underlying batch processing framework. While this is acceptable for data-intensive queries, it is not satisfactory for the majority of SPARQL queries that are typically much more selective requiring only small subsets of the data. In this paper, we present Sempala, a SPARQL-over-SQL-on-Hadoop approach designed with selective queries in mind. Our evaluation shows performance improvements by an order of magnitude compared to existing approaches, paving the way for interactive-time SPARQL query processing on Hadoop

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Ausgabe
Postprint
Sprache
Englisch
Anmerkungen
Mika P. et al. (eds) The Semantic Web – ISWC 2014. ISWC 2014. Lecture Notes in Computer Science, vol 8796, DOI 10.1007/978-3-319-11964-9_11, isbn: 978-3-319-11963-2
cc_by_nc_nd http://creativecommons.org/licenses/by-nc-nd/4.0/deed.de cc

Klassifikation
Informatik
Schlagwort
Hadoop
RDF
SPARQL
Impala
Semantic Web

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2014
Urheber
Beteiligte Personen und Organisationen
Albert-Ludwigs-Universität Freiburg
Institut für Informatik
Technische Fakultät

DOI
10.1007/978-3-319-11964-9_11
URN
urn:nbn:de:bsz:25-freidok-122758
Rechteinformation
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Letzte Aktualisierung
25.03.2025, 13:46 MEZ

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Beteiligte

Entstanden

  • 2014

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