ABSTAT: Linked Data Summaries with ABstraction and STATistics

  • Matteo Palmonari
  • Anisa Rula
  • Riccardo Porrini
  • Andrea Maurino
  • Blerina Spahiu
  • Vincenzo Ferme
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)

Abstract

While much work has focused on continuously publishing Linked Open Data, little work considers how to help consumers to better understand existing datasets. ABSTAT framework aims at providing a better understanding of big and complex datasets by extracting summaries of linked data sets based on an ontology-driven data abstraction model. Our ABSTAT framework takes as input a data set and an ontology and returns an ontology-driven data summary as output. The summary is exported into RDF and then made accessible through a SPARQL endpoint and a web interface to support the navigation.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Matteo Palmonari
    • 1
  • Anisa Rula
    • 1
  • Riccardo Porrini
    • 1
  • Andrea Maurino
    • 1
  • Blerina Spahiu
    • 1
  • Vincenzo Ferme
    • 2
  1. 1.University of Milano-BicoccaMilanItaly
  2. 2.University of Lugano (USI)LuganoSwitzerland

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