Lattice-Based Views over SPARQL Query Results

Mehwish Alam 1 Amedeo Napoli 1, 2
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : SPARQL queries over semantic web data usually produce a huge list of tuples as answers that may be hard to understand and interpret.Accordingly, this paper focuses on Lattice Based View Access (LBVA), a framework based on Formal Concept Analysis,to provide a view using {\tt View By} clause based on a concept lattice. This lattice can be navigated for retrieving or mining specific patterns in query results.
Type de document :
Communication dans un congrès
Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Sep 2014, Nancy, France
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01089774
Contributeur : Mehwish Alam <>
Soumis le : mardi 2 décembre 2014 - 13:30:29
Dernière modification le : jeudi 11 janvier 2018 - 06:27:33
Document(s) archivé(s) le : mardi 3 mars 2015 - 13:12:54

Fichier

ma_ld4kd_2014.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01089774, version 1

Collections

Citation

Mehwish Alam, Amedeo Napoli. Lattice-Based Views over SPARQL Query Results. Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Sep 2014, Nancy, France. 〈hal-01089774〉

Partager

Métriques

Consultations de la notice

275

Téléchargements de fichiers

126