CEUR-WS
Document ID
http://ceur-ws.org/Vol-1549/
Volume
Vol-1549
URN
urn:nbn:de:0074-1549-5
Language
eng
Copyright
© 2013 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

SemStats 2013 Semantic Statistics 2013

Event
Proceedings of the 1st International Workshop on Semantic Statistics co-located with 12th International Semantic Web Conference (ISWC 2013)
Location
Sydney, Australia
Date
Edited by
Sarven Capadisli1
Franck Cotton2
Richard Cyganiak3
Armin Haller4
Alistair Hamilton5
Raphaël Troncy6
  • 1University of Bonn, Germany
  • 2INSEE, France
  • 3DERI, Ireland
  • 4ANU, Australia
  • 5ABS, Australia
  • 6EURECOM, France

Table of Contents

  1. Australian Bureau of Statistics Implementation of Semantic Web Technology
    Authors
    Arupa Sarkar
    Michael Mecham
    Peter Meadows
  2. Towards the Discovery of Person-Level Data – Reuse of Vocabularies and Related Use Cases
    Authors
    Thomas Bosch
    Benjamin Zapilko
    Joachim Wackerow
    Arofan Gregory
  3. XKOS: Extending SKOS for Describing Statistical Classifications
    Authors
    Dan Gillman
    Franck Cotton
    Yves Jaques
  4. Towards Easy Matching Between Statistical Linked Data: Dimension Patterns
    Authors
    Hideto Sato
    Wen Wen
  5. Design and generation of Linked Clinical Data Cubes
    Authors
    Laurent Lefort
    Hugo Leroux
  6. Towards Linked Statistical Data Analysis [canonical URL]
    Authors
    Sarven Capadisli
    Sören Auer
    Reinhard Riedl
  7. Discovering Related Data Sources in Data-Portals
    Authors
    Andreas Wagner
    Peter Haase
    Achim Rettinger
    Holger Lamm
  8. OLAP Manipulations on RDF Data following a Constellation Model
    Authors
    Rafik Saad
    Olivier Teste
    Cassia Trojahn
  9. Towards a Vocabulary for Incorporating Predictive Models into the Linked Data Web
    Authors
    Evangelos Kalampokis
    Areti Karamanou
    Efthimios Tambouris
    Konstantinos Tarabanis
  10. Detecting and Reporting Extensional Concept Drift in Statistical Linked Data
    Authors
    Albert Meroño-Peñuela
    Rinke Hoekstra
    Christophe Guéret
    Stefan Schlobach
  11. Non-Temporal Orderings as Proxies for Extensional Concept Drift
    Authors
    Albert Meroño-Peñuela
    Stefan Schlobach
  12. Analyzing Statistics with Background Knowledge from Linked Open Data
    Authors
    Petar Ristoski
    Heiko Paulheim

We offer a BibTeX file for citing papers of this workshop from LaTeX.