RDSZ: An Approach for Lossless RDF Stream Compression

  • Norberto Fernández
  • Jesús Arias
  • Luis Sánchez
  • Damaris Fuentes-Lorenzo
  • Óscar Corcho
Conference paper

DOI: 10.1007/978-3-319-07443-6_5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8465)
Cite this paper as:
Fernández N., Arias J., Sánchez L., Fuentes-Lorenzo D., Corcho Ó. (2014) RDSZ: An Approach for Lossless RDF Stream Compression. In: Presutti V., d’Amato C., Gandon F., d’Aquin M., Staab S., Tordai A. (eds) The Semantic Web: Trends and Challenges. ESWC 2014. Lecture Notes in Computer Science, vol 8465. Springer, Cham

Abstract

In many applications (like social or sensor networks) the information generated can be represented as a continuous stream of RDF items, where each item describes an application event (social network post, sensor measurement, etc). In this paper we focus on compressing RDF streams. In particular, we propose an approach for lossless RDF stream compression, named RDSZ (RDF Differential Stream compressor based on Zlib). This approach takes advantage of the structural similarities among items in a stream by combining a differential item encoding mechanism with the general purpose stream compressor Zlib. Empirical evaluation using several RDF stream datasets shows that this combination produces gains in compression ratios with respect to using Zlib alone.

Keywords

#eswc2014Fernandez 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Norberto Fernández
    • 1
  • Jesús Arias
    • 1
  • Luis Sánchez
    • 1
  • Damaris Fuentes-Lorenzo
    • 1
  • Óscar Corcho
    • 2
  1. 1.Dpto. Ing. TelemáticaUniversidad Carlos III de MadridSpain
  2. 2.Ontology Engineering GroupUniversidad Politécnica de MadridSpain

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