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A conceptual density-based approach for the disambiguation of toponyms / D. Buscaldi in International journal of geographical information science IJGIS, vol 22 n° 3 (march 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n° 3 (march 2008) . - pp 301 - 313 Titre : A conceptual density-based approach for the disambiguation of toponyms Type de document : Article/Communication Auteurs : D. Buscaldi, Auteur ; P. Rosso, Auteur Année de publication : 2008 Article en page(s) : pp 301 - 313 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] géomatique web [Termes IGN] indexation spatiale [Termes IGN] recherche d'information géographique [Termes IGN] résolution d'ambiguïté [Termes IGN] toponyme Résumé : (Auteur) Nowadays, a huge quantity of information is stored in digital format. A great portion of this information is constituted by textual and unstructured documents, where geographical references are usually given by means of place names. A common problem with textual information retrieval is represented by polysemous words, that is, words can have more than one sense. This problem is present also in the geographical domain: place names may refer to different locations in the world. In this paper we investigate the use of our word sense disambiguation technique in the geographical domain, with the aim of resolving ambiguous place names. Our technique is based on WordNet conceptual density. Due to the lack of a reference corpus tagged with WordNet senses, we carried out the experiments over a set of 1,210 place names extracted from the SemCor corpus that we named GeoSemCor and made publicly available. We compared our method with the most-frequent baseline and the enhanced-Lesk method, which previously has not been tested in large contexts. The results show that a better precision can be achieved by using a small context (phrase level), whereas a greater coverage can be obtained by using large contexts (document level). The proposed method should be tested with other corpora, due to the fact that our experiments evidenced the excessive bias towards the most-frequent sense of the GeoSemCor. Copyright Taylor & Francis Numéro de notice : A2008-141 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701626251 En ligne : https://doi.org/10.1080/13658810701626251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29136 [article]

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