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Chapitre D'ouvrage Année : 2015

Discovering types of spatial relations with a text mining approach

Résumé

Knowledge discovery from texts, particularly the identifica- tion of spatial information is a difficult task due to the complexity of texts written in natural language. Here we propose a method combining two statistical approaches (lexical and contextual analysis) and a text mining approach to automatically identify types of spatial relations. Experiments conducted on an English corpus are presented.
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Dates et versions

hal-02602473 , version 1 (16-05-2020)

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S. Zenasni, E. Kergosien, M. Roche, Maguelonne Teisseire. Discovering types of spatial relations with a text mining approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9384, Springer, pp.442-451, 2015, 978-3-319-25251-3. ⟨hal-02602473⟩
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