A SPARQL Engine for Streaming RDF Data

S. Groppe, J. Groppe, D. Kukulenz, V. Linnemann

Abstract

The basic data format of the semantic Web is RDF. SPARQL, which has been developed by the W3C, is the upcoming standard for RDF query languages. Typical engines for processing SPARQL queries on RDF data first read all RDF data, may build indices of the complete read data and afterwards evaluate SPARQL queries. Such engines cannot operate on streaming RDF data. Streaming query engines operating on streams of data can (a) discard irrelevant input as early as possible, and thus save processing costs and space costs, (b) build indices only on those parts of the data, which are needed for the evaluation of the query, and (c) determine partial results of a query as early as possible, and thus evaluate queries more efficiently. We propose such a streaming SPARQL engine, which is the first streaming SPARQL engine to the best of our knowledge.
Original languageEnglish
Title of host publication2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Number of pages8
PublisherIEEE
Publication date01.12.2007
Pages167-174
Article number4618773
ISBN (Print)978-0-7695-3122-9
DOIs
Publication statusPublished - 01.12.2007
Event3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems - Jiangong Jinjiang, China
Duration: 16.12.200818.12.2008
Conference number: 74800

Research Areas and Centers

  • Research Area: Intelligent Systems
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 409-04 Operating, Communication, Database and Distributed Systems

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