http://www.cnr.it/ontology/cnr/individuo/prodotto/ID282568
Graphic Visualization in Literary Text Interpretation (Contributo in atti di convegno)
- Type
- Label
- Graphic Visualization in Literary Text Interpretation (Contributo in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/IV.2014.62 (literal)
- Alternative label
Andrea Bellandi, Alessia Bellusci, Amedeo Cappelli, Emiliano Giovannetti (2014)
Graphic Visualization in Literary Text Interpretation
in 18th International Conference on Information Visualisation, Parigi, 15, 16, 17, 18 luglio 2014
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Andrea Bellandi, Alessia Bellusci, Amedeo Cappelli, Emiliano Giovannetti (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Linguistica Computazionale \"A. Zampolli\" - CNR (literal)
- Titolo
- Graphic Visualization in Literary Text Interpretation (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Ebad Banissi, Mark W. McK. Bannatyne, Francis T. Marchese, Muhammad Sarfraz, Anna Ursyn, Gilles Venturini, Theodor G. Wyeld, Urska Cvek, Marjan Trutschl, Georges Grinstein, Vladimir Geroimenko, Sarah Kenderdine, and Fatma Bouali (literal)
- Abstract
- 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. (literal)
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