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LTC 2013: Human Language Technology. Challenges for Computer Science and Linguistics pp 229–242Cite as

GeoDomainWordNet: Linking the Geonames Ontology to WordNet

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9561))

Abstract

This paper illustrates the transformation of GeoNames’ ontology concepts, with their English labels and glosses, into a GeoDomain WordNet-like resource in English, its translation into Italian, and its linking to the existing generic WordNets of both languages. The paper describes the criteria used for the linking of domain synsets to each other and to the generic ones and presents the published resource in RDF according to the w3c and lemon schema.

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Notes

  1. 1.

    http://www.geonames.org. [All links and URIs in this paper were last accessed on 08/09/2015].

  2. 2.

    http://www.geonames.org/ontology/documentation.html.

  3. 3.

    For more information see also http://www.geonames.org/export/codes.html.

  4. 4.

    See current version at http://www.geonames.org/ontology/ontology_v3.1.rdf.

  5. 5.

    FP7 ICT-211423 funded under the FP7 http://www.kyoto-project.eu - [16].

  6. 6.

    GloSS is an Italian project, developed to continue the KYOTO Project in a national perspective [8]; its main goal was the semantic annotation and mining of documents in the public security domain.

  7. 7.

    datahub.io/dataset/geowordnet.

  8. 8.

    geosynset is, clearly, the synset of the newly created GeoDomainWN. See Sect. 3.2 for the naming conventions.

  9. 9.

    http://weblab.iit.cnr.it/kyoto/.

  10. 10.

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

  11. 11.

    http://purl.org/vocabularies/princeton/wn30/. The 3.1 WN version is now also available in RDF and can be consulted at http://wordnet-rdf.princeton.edu/. Thanks to the mapping between both resources, links to 3.1 could also be derived.

  12. 12.

    http://datahub.io/dataset/iwn.

  13. 13.

    See the WordNet documentation at http://wordnet.princeton.edu/wordnet/docu mentation/.

  14. 14.

    http://www.w3.org/TR/turtle/.

  15. 15.

    http://www.lemon-model.net/.

  16. 16.

    http://www.monnet-project.eu.

  17. 17.

    http://www.datahub.io/.

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Acknowledgements

The work described in this paper was partly funded by GloSS, a Regione Toscana funded project (Bando Unico R&S anno 2008 - linea A).

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Authors and Affiliations

  1. Istituto di Linguistica Computazionale ‘A. Zampolli’, Consiglio Nazionale Delle Ricerche (CNR), Pisa, Italy

    Francesca Frontini, Riccardo Del Gratta & Monica Monachini

Authors
  1. Francesca Frontini
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  2. Riccardo Del Gratta
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  3. Monica Monachini
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Correspondence to Francesca Frontini .

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Editors and Affiliations

  1. Adam Mickiewicz University , Poznań, Poland

    Zygmunt Vetulani

  2. Deutsches Forschungszentrum f. Künstl.Intelligenz (DFKI GmbH), Saarbrücken, Saarland, Germany

    Hans Uszkoreit

  3. Adam Mickiewicz University , Poznań, Poland

    Marek Kubis

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Frontini, F., Del Gratta, R., Monachini, M. (2016). GeoDomainWordNet: Linking the Geonames Ontology to WordNet. In: Vetulani, Z., Uszkoreit, H., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2013. Lecture Notes in Computer Science(), vol 9561. Springer, Cham. https://doi.org/10.1007/978-3-319-43808-5_18

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  • DOI: https://doi.org/10.1007/978-3-319-43808-5_18

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  • Publisher Name: Springer, Cham

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