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The People’s Web Meets NLP pp 45–67Cite as

Senso Comune: A Collaborative Knowledge Resource for Italian

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Abstract

Senso Comune is an open knowledge base for the Italian language, available through a Web-based collaborative platform, whose construction is in progress. The resource integrates dictionary data coming from both users and legacy resources with an ontological backbone, which provides foundations for a formal characterization of lexical semantic structures (frames). A nucleus of basic Italian lemmas, which have been semantically analyzed and classified, is available for both online access and download. A restricted community of contributors is currently working on increasing the lexical coverage of the resource.

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Notes

  1. 1.

    www.sensocomune.it

  2. 2.

    Besides the authors of this paper, the group, lead by Tullio De Mauro, includes Nicola Guarino, Maurizio Lenzerini and Laure Vieu.

  3. 3.

    IBM Italia Foundation’s symposium La dimensione semantica dell’Information Technology (The semantic dimension of Information Technology), Rome, November 27, 2006.

  4. 4.

    http://wordnetweb.princeton.edu/perl/webwn

  5. 5.

    See for example: http://multiwordnet.itc.it/english/home

  6. 6.

    http://www.ub.edu/gilcub/SIMPLE/simple.html

  7. 7.

    Lexicons often omit any reference to ontological categories that are not lexicalised in a language, although it sometimes happens, as with EuroWordNet’s ILIs or FrameNet’s non-lexicalised frames.

  8. 8.

    In this respect, our approach is essentially different from OntoNotes [32], where multi-lingual corpora have been annotated with shallow semantic features based on the Omega ontology. Omega contains“no formal concept definitions and only relatively few interconnections” [33] while Senso Comune, conversely, is explicitly grounded on an ontological model (see Sect. 2.2).

  9. 9.

    Hyponymy, antonymy, troponymy, causality, similarity, etc.

  10. 10.

    http://www.ceid.upatras.gr/Balkanet/

  11. 11.

    http://persianet.us/

  12. 12.

    For an updated list of wordnet projects see: http://www.globalwordnet.org/

  13. 13.

    http://www.coli.uni-saarland.de/projects/salsa

  14. 14.

    http://jfn.st.hc.keio.ac.jp/

  15. 15.

    http://www.kicktionary.de/

  16. 16.

    There is yet another WordNet for Italian developed by a company, but it is not freely accessible.

  17. 17.

    Grande dizionario italiano dell’uso (Gradit), Torino, UTET

  18. 18.

    Two teams of five linguists each, based in Rome and Bologna, under the supervision of Isabella Chiari and Malvina Nissim, were dedicated to this task.

  19. 19.

    http://www.wiktionary.org/

  20. 20.

    See http://wordnetweb.princeton.edu/perl/webwn

  21. 21.

    For the sake of readability, we don’t go through the basic senses of the verb ‘to walk’, also assuming that s1 is adequately selected by the user.

  22. 22.

    Note that we may wish to distinguish descriptions of functions from actual ones, namely those functions which are performed at a certain time by a given object. In the above example we simplify this distinction only focusing on the latter case.

  23. 23.

    Uncertainty will be included only in future releases of the TMEO system.

  24. 24.

    Please refer to [9] for a more complete version of Table 2.1 and a more detailed analysis of this experiment.

  25. 25.

    See for example: http://msw2.deri.ie/

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Author information

Authors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, USA

    Alessandro Oltramari

  2. IBM Center for Advanced Studies of Rome, Rome, Italy

    Guido Vetere

  3. Università La Sapienza di Roma, Roma, Italy

    Isabella Chiari

  4. Università di Pavia, Pavia, Italy

    Elisabetta Jezek

  5. Università di Roma Tor Vergata, Province of Rome, Italy

    Fabio Massimo Zanzotto

  6. Università di Bologna, Bologna, Italy

    Malvina Nissim

  7. STLab – ISTC-CNR, Roma, Italy

    Aldo Gangemi

Authors
  1. Alessandro Oltramari
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  2. Guido Vetere
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  3. Isabella Chiari
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  5. Fabio Massimo Zanzotto
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  6. Malvina Nissim
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Correspondence to Alessandro Oltramari .

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  1. Department of Computer Science Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität Darmstadt, Darmstadt, Germany

    Iryna Gurevych  & Jungi Kim  & 

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Oltramari, A. et al. (2013). Senso Comune: A Collaborative Knowledge Resource for Italian. In: Gurevych, I., Kim, J. (eds) The People’s Web Meets NLP. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35085-6_2

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