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Semantify CEUR-WS Proceedings: Towards the Automatic Generation of Highly Descriptive Scholarly Publishing Linked Datasets

  • Conference paper
  • First Online:
Semantic Web Evaluation Challenge (SemWebEval 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 475))

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Abstract

Rich and fine-grained semantic information describing varied aspects of scientific productions is essential to support their diffusion as well as to properly assess the quality of their output. To foster this trend, in the context of the ESWC2014 Semantic Publishing Challenge, we present a system that automatically generates rich RDF datasets from CEUR-WS workshop proceedings. Proceedings are analyzed through a sequence of processing phases. SVM classifiers complemented by heuristics are used to annotate missing CEUR-WS markups. Annotations are then linked to external datasets like DBpedia and Bibsonomy. Finally, the data is modeled and published as an RDF graph. Our system is provided as an on-line Web service to support on-the-fly RDF generation. In this paper we describe the system and present its evaluation following the procedure set by the organizers of the challenge.

The work described in this paper has been funded by the European Project Dr Inventor (FP7-ICT-2013.8.1 - Grant no: 611383) and the project SKATER-UPF-TALN (TIN2012-38584-C06-03) funded by Ministerio de Economía y Competitividad, Secretaría de Estado de Investigación, Desarrollo e Innovación, Spain.

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Notes

  1. 1.

    http://dblp.l3s.de/d2r/

  2. 2.

    http://acm.rkbexplorer.com/

  3. 3.

    http://ieee.rkbexplorer.com/

  4. 4.

    A semantic markup approach that conveys metadata and other attributes in Web pages by existing HTML/XHTML tags.

  5. 5.

    A semantic markup useful to embed RDF triples within XHTML documents.

  6. 6.

    http://www.bibsonomy.org/

  7. 7.

    http://www.wikicfp.com/cfp/

  8. 8.

    https://gate.ac.uk/

  9. 9.

    The system described in this paper can be accessed on-line at: http://sempub.taln.upf.edu/eswc2014sempub/ (password: ceurrdf2014).

  10. 10.

    http://gate.ac.uk/sale/tao/splitch6.html

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Author information

Authors and Affiliations

  1. TALN Research Group, Universitat Pompeu Fabra, C/Tanger 122, 08018, Barcelona, Spain

    Francesco Ronzano, Gerard Casamayor del Bosque & Horacio Saggion

Authors
  1. Francesco Ronzano
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  2. Gerard Casamayor del Bosque
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  3. Horacio Saggion
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Corresponding author

Correspondence to Francesco Ronzano .

Editor information

Editors and Affiliations

  1. Semantic Technology Laboratory, ISTC-CNR, Rome, Italy

    Valentina Presutti

  2. Université Paris-Sorbonne,, Paris, France

    Milan Stankovic

  3. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Erik Cambria

  4. Universidad Autónoma de Madrid, Madrid, Spain

    Iván Cantador

  5. University of Bologna, Bologna, Italy

    Angelo Di Iorio

  6. Polytechnic University of Bari, Bari, Italy

    Tommaso Di Noia

  7. University of Birmingham, Birmingham, United Kingdom

    Christoph Lange

  8. ISTC-CNR, Semantic Technology Laboratory, Rome, Italy

    Diego Reforgiato Recupero

  9. Elsevier B.V., Amsterdam, The Netherlands

    Anna Tordai

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© 2014 Springer International Publishing Switzerland

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Ronzano, F., del Bosque, G.C., Saggion, H. (2014). Semantify CEUR-WS Proceedings: Towards the Automatic Generation of Highly Descriptive Scholarly Publishing Linked Datasets. In: Presutti, V., et al. Semantic Web Evaluation Challenge. SemWebEval 2014. Communications in Computer and Information Science, vol 475. Springer, Cham. https://doi.org/10.1007/978-3-319-12024-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-12024-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12023-2

  • Online ISBN: 978-3-319-12024-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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