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ACM: Article Content Miner for Assessing the Quality of Scientific Output

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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

This paper presents the Article Content Miner (a.k.a. ACM), i.e., a method for processing the research papers in PDF format available for the 2016 edition of the Semantic Publishing Challenge in order to extract relevant semantic data and publish them in a RDF triplestore according to the Semantic Publishing And Referencing (SPAR) Ontologies (http://www.sparontologies.net). In particular, the extraction of all the information needed for addressing the queries of the second task of the challenge (https://github.com/ceurws/lod/wiki/SemPub16_Task2) is guaranteed by ACM by using techniques based on Natural Language Processing (i.e., Combinatory Categorial Grammar, Discourse Representation Theory, Linguistic Frames), Semantic Web technologies and good Ontology Design practices (i.e., Content Analysis, Ontology Design Patterns, Discourse Referent Extraction and Linking, Topic Extraction).

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Notes

  1. 1.

    http://www.sparontologies.net.

  2. 2.

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

  3. 3.

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

  4. 4.

    https://github.com/ceurws/lod/wiki/Task2.

  5. 5.

    http://2014.eswc-conferences.org/.

  6. 6.

    http://www.sparontologies.net.

  7. 7.

    http://purl.org/spar/fabio.

  8. 8.

    http://purl.org/spar/doco.

  9. 9.

    http://purl.org/spar/pro.

  10. 10.

    http://purl.org/cerif/frapo.

  11. 11.

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

  12. 12.

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

  13. 13.

    http://www.sparontologies.net.

  14. 14.

    https://github.com/ceurws/lod/wiki/SemPub2015.

  15. 15.

    https://github.com/ceurws/lod/wiki/SemPub2016.

  16. 16.

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

  17. 17.

    https://github.com/ceurws/lod/wiki/SemPub2016.

  18. 18.

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

  19. 19.

    https://github.com/ceurws/lod/wiki/SemPub2016.

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Author information

Authors and Affiliations

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

    Andrea Giovanni Nuzzolese

  2. Digital and Semantic Publishing Laboratory, Department of Computer Science and Engineering, University of Bologna, Bologna, Italy

    Silvio Peroni

  3. Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy

    Diego Reforgiato Recupero

Authors
  1. Andrea Giovanni Nuzzolese
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  2. Silvio Peroni
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  3. Diego Reforgiato Recupero
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Corresponding author

Correspondence to Diego Reforgiato Recupero .

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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Nuzzolese, A.G., Peroni, S., Reforgiato Recupero, D. (2016). ACM: Article Content Miner for Assessing the Quality of Scientific Output. 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_22

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  • DOI: https://doi.org/10.1007/978-3-319-46565-4_22

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