A Study of URI Spotting for Question Answering over Linked Data (QALD)

Abstract : Recently, there have been studies on linked data-based question answering systems such as Question Answering over Linked Data (QALD). In these linked data-based question answering systems, it is essential to connect URI which is used as an identifier of the linked data with a chunk or surface form constituting such queries. This study attempts to suggest effective URI spotting that connects question-answering chunk and URI of the linked data using conventional natural language processing techniques. In addition, this study addresses a solution for selecting best linked data entities from chunk by using automatically generated standard RDF query language expression (SPARQL) queries.
Type de document :
Communication dans un congrès
9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. IFIP Advances in Information and Communication Technology, AICT-486, pp.163-168, 2016, Intelligent Information Processing VIII. 〈10.1007/978-3-319-48390-0_17〉
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01614981
Contributeur : Hal Ifip <>
Soumis le : mercredi 11 octobre 2017 - 16:57:23
Dernière modification le : mercredi 11 octobre 2017 - 17:00:35
Document(s) archivé(s) le : vendredi 12 janvier 2018 - 15:40:53

Fichier

 Accès restreint
Fichier visible le : 2019-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Kyungtae Lim, Namkyoo Kang, Min-Woo Park. A Study of URI Spotting for Question Answering over Linked Data (QALD). 9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. IFIP Advances in Information and Communication Technology, AICT-486, pp.163-168, 2016, Intelligent Information Processing VIII. 〈10.1007/978-3-319-48390-0_17〉. 〈hal-01614981〉

Partager

Métriques

Consultations de la notice

12