Graph-based large scale RDF data Compression

Wei Emma Zhang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

We propose a two-stage lossless compression approach on large scale RDF data. Our approach exploits both Representation Compression and Component Compression techniques to support query and dynamic operations directly on the compressed data.

Original languageEnglish
Title of host publicationSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages1276
Number of pages1
ISBN (Print)9781450322591
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia
Duration: 6 Jul 201411 Jul 2014

Other

Other37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
CountryAustralia
CityGold Coast, QLD
Period6/07/1411/07/14

Keywords

  • Compression
  • RDF graph
  • Semantic web

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