Semantic Filtering of Scientific Articles guided by a Domain Ontology

Fabrice Jouanot 1 Cyril Labbé 1 Elena Michael 1 Marie-Christine Rousset 1 Maïté Tauber 2 Federico Ulliana 3
1 LIG - Laboratoire d'Informatique de Grenoble
2 Centre d'Endocrinologie, Maladies Osseuses, Génétique et Gynécologie Médicale
3 IMAGINE - Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : The problem that we address in this paper is how to improve the accuracy of retrieving specialized information within a textual scientific corpus. We present a new approach in which the keywords expressing the bibliographical needs of a researcher are related to a domain ontology. We illustrate how such a declarative ontolology-based approach can be used both for computing varied statistics, and also for helping experts to find useful fine-grained information within a textual corpus.
Keywords : concept extraction from text information integration ontology-based data access semantic search
Type de document :
Communication dans un congrès
S. I. Ao; Craig Douglas; Warren S. Grundfest; Jon Burgstone. WCECS 2014 - World Congress on Engineering and Computer Science 2014, Oct 2014, San Francisco, United States. 2014, <10.978-988-19253-7-4>
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01088092
Contributeur : Fabrice Jouanot <>
Soumis le : lundi 1 décembre 2014 - 10:34:48
Dernière modification le : jeudi 23 avril 2015 - 13:41:22
Document(s) archivé(s) le : lundi 2 mars 2015 - 13:26:31

Fichier

WCECS2014_pp803-808.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

INRIA | LIG | LJK | PERSYVAL-LAB | LJK_GI | LJK_GI_IMAGINE | UGA

Citation

Fabrice Jouanot, Cyril Labbé, Elena Michael, Marie-Christine Rousset, Maïté Tauber, et al.. Semantic Filtering of Scientific Articles guided by a Domain Ontology. S. I. Ao; Craig Douglas; Warren S. Grundfest; Jon Burgstone. WCECS 2014 - World Congress on Engineering and Computer Science 2014, Oct 2014, San Francisco, United States. 2014, <10.978-988-19253-7-4>. <hal-01088092>

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de
la notice

422

Téléchargements du document

223

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD