Compact Representation of Large RDF Data Sets for Publishing and Exchange

• Javier D. Fernández ^[1] ; Miguel A. Martínez-Prieto ^[1] ; Claudio Gutiérrez ^[2]
  1. [1] Universidad de Valladolid

     Universidad de Valladolid

     Valladolid, España

     
  2. [2] Universidad de Chile

     Universidad de Chile

     Santiago, Chile

     
• Localización: Actas de las Jornadas de Ingeniería del Software y Bases de Datos (JISBD´11), 2011, ISBN 978-84-9749-486-1, págs. 131-132
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • The current “Web of Data” produces increasingly huge RDF data sets. However, traditional RDF representations stay influenced by the old documentcentric perspective of the Web, containing high levels of redundancy and verbose syntaxes. This leads to fuzzy publications, inefficient management, complex processing and lack of scalability.We introduced a new representation format (Header-Dictionary-Triples: HDT ) that modularizes the data and uses the skewed structure of big RDF graphs [2] to achieve large spatial savings. It is based on three main components, described as follows.