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Using SWRL Rules to Model Noun Behaviour in Italian

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Book cover Language, Data, and Knowledge (LDK 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10318))

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Abstract

In this article we describe our ongoing attempts to use the Semantic Web Rule Language (SWRL) to model the morphological layer of a wide-coverage Italian lexical resource, Parole-Simple-Clips (PSC); in this case that subset of PSC dealing with Italian noun morphology. After giving a brief introduction to SWRL and to Italian noun morphology we go onto describe the actual transformation itself. Finally we describe an experiment on our dataset using SWRL rules and queries written in the Semantic Query-Enhanced Rule Web Language (SQWRL).

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Notes

  1. 1.

    http://linguistic-lod.org/llod-cloud.

  2. 2.

    Note that here we intend ‘extensional description’ to refer to cases in which the inflected forms of a lexeme are explicitly given in a lexicon, and ‘intensional’ to cases where such forms are represented implicitly through morphological patterns that can be used to generate them.

  3. 3.

    See for instance the morphological pattern for the inflection of adjectives at http://www.tagmatica.fr/lmf/FrenchLMFTestSuites1.xml.

  4. 4.

    Note that as we are looking at the use of SWRL explicitly as a Semantic Web-based rule language we will not, in this article, make comparisons between our work and the existing literature on modelling natural language morphology using other logic programming languages like Prolog. Our emphasis here is on making morphological data accessible using Semantic Web technologies.

  5. 5.

    https://www.w3.org/Submission/SWRL/.

  6. 6.

    For a good introduction to Italian noun morphology see [4].

  7. 7.

    These API’s can be found respectively at http://owlapi.sourceforge.net/ and https://github.com/protegeproject/swrlapi.

  8. 8.

    https://github.com/protegeproject/swrlapi/wiki.

  9. 9.

    This percentage is taken over the total number of nouns assigned to a morphological class.

References

  1. D’Achille, P., Thornton, A.M.: La flessione del nome dall’italiano antico all’italiano contemporaneo (2003)

    Google Scholar 

  2. Del Gratta, R., Frontini, F., Khan, F., Monachini, M.: Converting the PAROLE SIMPLE CLIPS Lexicon into RDF with lemon. Semant. Web (Print) 6, 387–392 (2015)

    Article  Google Scholar 

  3. Francopoulo, G.: LMF Lexical Markup Framework. Wiley, New York (2013)

    Book  Google Scholar 

  4. Iacobini, C., Thornton, A.M.: Morfologia e formazione delle parole. Manuale di linguistica italiana 13, 190 (2016)

    Google Scholar 

  5. Klimek, B., Arndt, N., Krause, S., Arndt, T.: Creating linked data morphological language resources with mmoon - the hebrew morpheme inventory. In: Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016) (2016)

    Google Scholar 

  6. McCrae, J., Spohr, D., Cimiano, P.: Linking lexical resources and ontologies on the semantic web with lemon. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., Leenheer, P., Pan, J. (eds.) ESWC 2011. LNCS, vol. 6643, pp. 245–259. Springer, Heidelberg (2011). doi:10.1007/978-3-642-21034-1_17

    Chapter  Google Scholar 

  7. O’Reilly, C., Paurobally, S.: Lassoing rhetoric with owl and swrl. Unpublished MSc dissertation (2010). http://computationalrhetoricworkshop.uwaterloo.ca/wpcontent/uploads/2016/06/LassoingRhetoricWithOWLAndSWRL.pdf

  8. Wilcock, G.: An owl ontology for HPSG. In: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL 2007, Association for Computational Linguistics, Stroudsburg, PA, USA, pp. 169–172 (2007)

    Google Scholar 

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Authors and Affiliations

  1. Istituto di Linguistica Computazionale “A. Zampolli” - CNR, Pisa, Italy

    Fahad Khan, Andrea Bellandi & Monica Monachini

  2. Université Paul-Valéry Montpellier 3, Praxiling UMR 5267 CNRS - UPVM3, Montpellier, France

    Francesca Frontini

Authors
  1. Fahad Khan
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  2. Andrea Bellandi
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  3. Francesca Frontini
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  4. Monica Monachini
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Corresponding author

Correspondence to Fahad Khan .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Jorge Gracia

  2. Nanyang Technological University, Singapore, Singapore

    Francis Bond

  3. Insight Centre for Data Analytics, National University of Ireland, Galway, Galway, Ireland

    John P. McCrae

  4. Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland

    Paul Buitelaar

  5. Goethe-University Frankfurt, Frankfurt, Germany

    Christian Chiarcos

  6. University of Leipzig, Leipzig, Germany

    Sebastian Hellmann

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Khan, F., Bellandi, A., Frontini, F., Monachini, M. (2017). Using SWRL Rules to Model Noun Behaviour in Italian. In: Gracia, J., Bond, F., McCrae, J., Buitelaar, P., Chiarcos, C., Hellmann, S. (eds) Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science(), vol 10318. Springer, Cham. https://doi.org/10.1007/978-3-319-59888-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-59888-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59887-1

  • Online ISBN: 978-3-319-59888-8

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