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Semantic Publishing Challenge – Assessing the Quality of Scientific Output in Its Ecosystem

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Semantic Web Challenges (SemWebEval 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 641))

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Abstract

The Semantic Publishing Challenge aims to involve participants in extracting data from heterogeneous sources on scholarly publications, and produce Linked Data which can be exploited by the community itself. The 2014 edition was the first attempt to organize a challenge to enable the assessment of the quality of scientific output. The 2015 edition was more explicit regarding the potential techniques, i.e., information extraction and interlinking. The current 2016 edition focuses on the multiple dimensions of scientific quality and the great potential impact of producing Linked Data for this purpose. In this paper, we discuss the overall structure of the Semantic Publishing Challenge, as it is for the 2016 edition, as well as the submitted solutions and their evaluation.

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Notes

  1. 1.

    http://jats.nlm.nih.gov/.

  2. 2.

    http://ceur-ws.org/.

  3. 3.

    https://github.com/ceurws/lod/wiki/SemPub16_Task1.

  4. 4.

    https://github.com/ceurws/lod/wiki/SemPub16_Task2.

  5. 5.

    http://rml.io/data/SPC2016/CEUR-WS/CEUR-WStask1.rdf.gz.

  6. 6.

    http://rml.io/data/SPC2016/CEUR-WS/CEUR-WStask2.rdf.gz.

  7. 7.

    http://www.colinda.org/.

  8. 8.

    http://dblp.l3s.de/dblp++.php.

  9. 9.

    http://lod.springer.com/.

  10. 10.

    http://pdfx.cs.man.ac.uk.

  11. 11.

    https://pdfbox.apache.org/.

  12. 12.

    https://github.com/euske/pdfminer/.

  13. 13.

    http://wit.istc.cnr.it/stlab-tools/fred.

  14. 14.

    http://www.semanticsoftware.info/lodexporter.

  15. 15.

    http://pdfx.cs.man.ac.uk.

  16. 16.

    https://pdfbox.apache.org/.

  17. 17.

    https://github.com/angelobo/SemPubEvaluator.

References

  1. Ahmad, R., Afzal, M.T., Qadir, M.A.: Information extraction for PDF sources based on rule-based system using integrated formats. In: Sack et al. [12], pp. 293–308

    Google Scholar 

  2. Bryl, V., Birukou, A., Eckert, K., Kessler, M.: What’s in the proceedings? Combining publisher’s and researcher’s perspectives. In: García Castro, A., Lange, C., Lord, P., Stevens, R. (eds.) 4th Workshop on Semantic Publishing (SePublica). CEUR Workshop Proceedings, vol. 1155, Aachen (2014)

    Google Scholar 

  3. Di Iorio, A., Lange, C., Dimou, A., Vahdati, S.: Semantic publishing challenge - assessing the quality of scientific output by information extraction and interlinking. In: Gandon et al. [4], pp. 65–80

    Google Scholar 

  4. Gandon, F., et al. (eds.): SemWebEval 2015. CCIS, vol. 548. Springer, Heidelberg (2015)

    Google Scholar 

  5. Klampfl, S., Kern, R.: Machine learning techniques for automatically extracting contextual information from scientific publications. In: Gandon et al. [4], pp. 105–116

    Google Scholar 

  6. Klampfl, S., Kern, R.: Reconstructing the logical structure of a scientific publication using machine learning. In: Sack et al. [12], pp. 255–268

    Google Scholar 

  7. Lange, C., Di Iorio, A.: Semantic publishing challenge – assessing the quality of scientific output. In: Presutti, V., Stankovic, M., Cambria, E., Cantador, I., Di Iorio, A., Di Noia, T., Lange, C., Reforgiato Recupero, D., Tordai, A. (eds.) SemWebEval 2014. CCIS, vol. 475, pp. 61–76. Springer, Heidelberg (2014)

    Google Scholar 

  8. Milicka, M., Burget, R.: Information extraction from web sources based on multi-aspect content analysis. In: Gandon et al. [4]

    Google Scholar 

  9. Nuzzolese, A.G., Peroni, S., Recupero, D.R.: MACJa: metadata and citations jailbreaker. In: Gandon et al. [4], pp. 117–128

    Google Scholar 

  10. Nuzzolese, A.G., Peroni, S., Recupero, D.R.: ACM: article content miner for assessing the quality of scientific output. In: Sack et al. [12], pp. 281–292

    Google Scholar 

  11. Ramesh, S.H., Dhar, A., Kumar, R.R., Anjaly, V., Sarath, K., Pearce, J., Sundaresan, K.: Automatically identify and label sections in scientific journals using conditional random fields. In: Sack et al. [12], pp. 269–280

    Google Scholar 

  12. Sack, H., Dietze, S., Tordai, A., Lange, C.: SemWebEval 2016. CCIS, vol. 641. Springer, Heidelberg (2016)

    Google Scholar 

  13. Sateli, B., Witte, R.: Automatic construction of a semantic knowledge base from CEUR workshop proceedings. In: Gandon et al. [4], pp. 129–141

    Google Scholar 

  14. Sateli, B., Witte, R.: An automatic workflow for the formalization of scholarly articles’ structural and semantic elements. In: Sack et al. [12], pp. 309–320

    Google Scholar 

  15. Shotton, D.: Semantic publishing: the coming revolution in scientific journal publishing. Learn. Publish. 22(2), 85–94 (2009)

    Article  Google Scholar 

  16. Shotton, D., Portwin, K., Klyne, G., Miles, A.: Adventures in semantic publishing: exemplar semantic enhancements of a research article. PLoS Comput. Biol. 5(4), e1000361 (2009)

    Article  Google Scholar 

  17. Tkaczyk, D., Bolikowski, L.: Extracting contextual information from scientific literature using CERMINE system. In: Gandon et al. [4]

    Google Scholar 

  18. Vahdati, S., Dimou, A., Lange, C., Di Iorio, A.: Semantic publishing challenge: bootstrapping a value chain for scientific data. In: Gonzalez-Beltran, A., Osborne, F., Peroni, S. (eds.) Semantics, Analytics, Visualisation: Enhancing Scholarly Data. LNCS. Springer, Heidelberg (2016)

    Google Scholar 

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Part of this research has been funded by the European Union under grant agreement no. 643410 (OpenAIRE2020).

Author information

Authors and Affiliations

  1. Ghent University - iMinds, Ghent, Belgium

    Anastasia Dimou

  2. Università di Bologna, Bologna, Italy

    Angelo Di Iorio

  3. University of Bonn, Bonn, Germany

    Christoph Lange & Sahar Vahdati

  4. Fraunhofer IAIS, Sankt Augustin, Germany

    Christoph Lange

Authors
  1. Anastasia Dimou
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  2. Angelo Di Iorio
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  3. Christoph Lange
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  4. Sahar Vahdati
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Corresponding author

Correspondence to Anastasia Dimou .

Editor information

Editors and Affiliations

  1. IT Systems Engineering, Hasso-Plattner Institute, Potsdam, Germany

    Harald Sack

  2. Leibniz Universität Hannover , Hannover, Germany

    Stefan Dietze

  3. Elsevier B.V. , Amsterdem, The Netherlands

    Anna Tordai

  4. Universität Bonn , Bonn, Germany

    Christoph Lange

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Dimou, A., Di Iorio, A., Lange, C., Vahdati, S. (2016). Semantic Publishing Challenge – Assessing the Quality of Scientific Output in Its Ecosystem. In: Sack, H., Dietze, S., Tordai, A., Lange, C. (eds) Semantic Web Challenges. SemWebEval 2016. Communications in Computer and Information Science, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-319-46565-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-46565-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46564-7

  • Online ISBN: 978-3-319-46565-4

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