Self-Indexing RDF Archives

Ana Cerdeira-Pena, Antonio Fariña, Javier David Fernandez Garcia, Miguel Ángel Martínez-Prieto

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


Although Big RDF management is an emerging topic in the so-called Web of Data, existing techniques disregard the dynamic nature of RDF data. These RDF archives evolve over time and need to be preserved and queried across it. This paper presents v-RDFCSA, an RDF archiving solution that extends RDFCSA (an RDF self-index) to provide version-based queries on top of compressed RDF archives. Our experiments show that v-RDFCSA reduces space requirements up to 35 − 60 times over a state-of-the-art baseline, and gets more than one order of magnitude ahead over it for query resolution.
Original languageEnglish
Title of host publicationData Compression Conference (DCC)
Publication statusPublished - 2016

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102
  • 102001 Artificial intelligence
  • 502050 Business informatics
  • 102015 Information systems

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