A Modeling Approach for the Extraction of Semantic Information from a Maritime Corpus
dc.contributor.author | TSATCHA, Dieudonné |
dc.contributor.author
hal.structure.identifier | CLARAMUNT, Christophe
|
dc.contributor.author | SAUX, Eric |
dc.date.accessioned | 2014 |
dc.date.available | 2016 |
dc.date.issued | 2013 |
dc.date.submitted | 2014 |
dc.identifier.isbn | 978-3-642-32315-7 |
dc.identifier.uri | http://hdl.handle.net/10985/8758 |
dc.description.abstract | This paper introduces an algorithm for retrieving semantic information from a maritime corpus. The method is based on Natural Language Processing (NPL) and combines a segmentation of large documents with principles of a conceptual vector model (CVM) and synsets of words. This research is applied to the context of intelligent transport systems and maritime navigation. Based on documents regulating maritime traffic, this approach proposes an aid for navigational decision-making while significantly reducing the number of entities and relations required in the modeling process. |
dc.language.iso | en |
dc.publisher | Springer Berlin Heidelberg |
dc.rights | Post-print |
dc.subject | Natural language processing |
dc.subject | Conceptual vector model |
dc.subject | Semantics |
dc.subject | Navigational decision aid |
dc.title | A Modeling Approach for the Extraction of Semantic Information from a Maritime Corpus |
ensam.embargo.terms | 2 Years |
dc.identifier.doi | 10.1007/978-3-642-32316-4_12 |
dc.typdoc | Communication avec acte |
dc.localisation | Centre de Paris |
dc.subject.hal | Informatique: Recherche d'information |
ensam.audience | Internationale |
ensam.conference.title | 15th International Symposium on Advances in Spatial Data Handling (SDH) |
ensam.conference.date | 2012-08 |
ensam.country | Germany |
ensam.title.proceeding | Proceedings of the 15th International Symposium on Advances in Spatial Data Handling (SDH) |
ensam.page | 175-191 |
hal.status | unsent |