Semantic Web Evaluation Challenge

Semantic Web Evaluation Challenges pp 65-80

Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking

  • Angelo Di Iorio
  • Christoph Lange
  • Anastasia Dimou
  • Sahar Vahdati
Conference paper

DOI: 10.1007/978-3-319-25518-7_6

Part of the Communications in Computer and Information Science book series (CCIS, volume 548)
Cite this paper as:
Iorio A.D., Lange C., Dimou A., Vahdati S. (2015) Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking. In: Gandon F., Cabrio E., Stankovic M., Zimmermann A. (eds) Semantic Web Evaluation Challenges. Communications in Computer and Information Science, vol 548. Springer, Cham

Abstract

The Semantic Publishing Challenge series aims at investigating novel approaches for improving scholarly publishing using Linked Data technology. In 2014 we had bootstrapped this effort with a focus on extracting information from non-semantic publications – computer science workshop proceedings volumes and their papers – to assess their quality. The objective of this second edition was to improve information extraction but also to interlink the 2014 dataset with related ones in the LOD Cloud, thus paving the way for sophisticated end-user services.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Angelo Di Iorio
    • 1
  • Christoph Lange
    • 2
  • Anastasia Dimou
    • 3
  • Sahar Vahdati
    • 4
  1. 1.Università di BolognaBolognaItaly
  2. 2.University of Bonn and Fraunhofer IAISBonnGermany
  3. 3.Ghent University – iMinds – Multimedia LabGhentBelgium
  4. 4.University of BonnBonnGermany

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