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        <identifier><![CDATA[oai:it.cnr:prodotti:oai:it.cnr:prodotti:282568]]></identifier>
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          <dc:type><![CDATA[info:eu-repo/semantics/conferenceObject]]></dc:type>
          <dc:type><![CDATA[Contributo in atti di convegno]]></dc:type>
          <dc:title><![CDATA[Graphic Visualization in Literary Text Interpretation]]></dc:title>
          <dc:creator><![CDATA[Andrea Bellandi]]></dc:creator>
          <dc:creator><![CDATA[Alessia Bellusci]]></dc:creator>
          <dc:creator><![CDATA[Amedeo Cappelli]]></dc:creator>
          <dc:creator><![CDATA[Emiliano Giovannetti]]></dc:creator>
          <dc:language><![CDATA[eng]]></dc:language>
          <dc:description><![CDATA[We here illustrate a possible approach combining existing technologies for Natural Language Processing (NLP), Knowledge Representation and Reasoning (KRR) and Data Visualization in a coherent Decision Support System (DSS). The approach to the development of the system we are working on can be articulated in two main steps: the customization and integration of existing tools for automatic text annotation (at least linguistic, lexicographic and semantic) and the construction of a user-friendly and highly expressive GUI. The interface should allow a user to: upload her/his own text, run the desired annotation tools, visually interact with the resulting multilayered network to: i) proof-read the results of the automatic annotations, ii) manually add missing elements and/or relations between elements and, finally, iii) formulate and verify specific interpretative hypotheses.]]></dc:description>
          <dc:source><![CDATA[18th International Conference  on Information Visualisation, pp. 392–397, Parigi, 15, 16, 17, 18 luglio 2014]]></dc:source>
          <dc:source><![CDATA[info:cnr-pdr/source/autori:Andrea Bellandi, Alessia Bellusci, Amedeo Cappelli, Emiliano Giovannetti/congresso_nome:18th International Conference  on Information Visualisation/congresso_luogo:Parigi/congresso_data:15, 16, 17, 18 luglio 2014/anno:2014/pagina_da:392/pagina_a:397/intervallo_pagine:392–397]]></dc:source>
          <dc:publisher><![CDATA[IEEE, New York, USA]]></dc:publisher>
          <dc:date><![CDATA[2014]]></dc:date>
          <dc:identifier><![CDATA[http://www.cnr.it/prodotto/i/282568]]></dc:identifier>
          <dc:identifier><![CDATA[https://publications.cnr.it/doc/282568]]></dc:identifier>
          <dc:identifier><![CDATA[https://dx.doi.org/10.1109/IV.2014.62]]></dc:identifier>
          <dc:identifier><![CDATA[info:doi:10.1109/IV.2014.62]]></dc:identifier>
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          <dc:relation><![CDATA[info:cnr-pdr/author/idpersonaleesterno:21746/BELLANDI/ANDREA]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/idpersonaleesterno:23676/BELLUSCI/ALESSIA]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/matricola:3914/CAPPELLI/AMEDEO]]></dc:relation>
          <dc:relation><![CDATA[info:cnr-pdr/author/matricola:11969/GIOVANNETTI/EMILIANO]]></dc:relation>
          <dc:rights><![CDATA[info:eu-repo/semantics/restrictedAccess]]></dc:rights>
          <dc:subject><![CDATA[Computational Hermeneutics]]></dc:subject>
          <dc:subject><![CDATA[Text processing]]></dc:subject>
          <dc:subject><![CDATA[Knowledge Representation and Reasoning]]></dc:subject>
          <dc:subject><![CDATA[Data Visualization.]]></dc:subject>
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