Extraction d'information à base d'ontologies dans une application de veille
Identifieur interne : 007C72 ( Main/Exploration ); précédent : 007C71; suivant : 007C73Extraction d'information à base d'ontologies dans une application de veille
Auteurs : Amalia Todirascu [France] ; Laurent Romary [France] ; Dalila BekhoucheSource :
English descriptors
- mix :
Abstract
Le papier présente un système d'extraction d'information, qui s'appuie sur des techniques robustes d'analyse du langage naturel et sur l'existence d'une ontologie d'un domaine. Nous présentons en particuliér l'interface syntaxe-sémantique mise en oeuvre pour un corpus des messages électroniques (en anglais) sur la sécurité des systèmes informatiques. || This paper presents an information extraction system dedicated to message filtering for a specific domain. We focus on a method for identifying domain-specific entities, using syntactic information and an existing domain ontology. The application domain c
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 005C14
- to stream Hal, to step Curation: 005C14
- to stream Hal, to step Checkpoint: 005261
- to stream Main, to step Merge: 008100
- to stream Main, to step Curation: 007C72
Le document en format XML
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type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Bekhouche, Dalila" sort="Bekhouche, Dalila" uniqKey="Bekhouche D" first="Dalila" last="Bekhouche">Dalila Bekhouche</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>extraction d'information</term><term>information extraction</term><term>local parsing</term><term>ontologie</term><term>ontology</term><term>syntaxe locale</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Le papier présente un système d'extraction d'information, qui s'appuie sur des techniques robustes d'analyse du langage naturel et sur l'existence d'une ontologie d'un domaine. Nous présentons en particuliér l'interface syntaxe-sémantique mise en oeuvre pour un corpus des messages électroniques (en anglais) sur la sécurité des systèmes informatiques. || This paper presents an information extraction system dedicated to message filtering for a specific domain. We focus on a method for identifying domain-specific entities, using syntactic information and an existing domain ontology. The application domain c</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><noCountry><name sortKey="Bekhouche, Dalila" sort="Bekhouche, Dalila" uniqKey="Bekhouche D" first="Dalila" last="Bekhouche">Dalila Bekhouche</name></noCountry><country name="France"><region name="Grand Est"><name sortKey="Todirascu, Amalia" sort="Todirascu, Amalia" uniqKey="Todirascu A" first="Amalia" last="Todirascu">Amalia Todirascu</name></region><name sortKey="Romary, Laurent" sort="Romary, Laurent" uniqKey="Romary L" first="Laurent" last="Romary">Laurent Romary</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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