RDF Graph Alignment with Bisimulation
Type de document :
Communication dans un congrès avec actes
DOI :
Titre :
RDF Graph Alignment with Bisimulation
Auteur(s) :
Buneman, Peter [Auteur]
School of Informatics [Edimbourg]
Staworko, Sławek [Auteur]
Linking Dynamic Data [LINKS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
School of Informatics [Edimbourg]
School of Informatics [Edimbourg]
Staworko, Sławek [Auteur]
Linking Dynamic Data [LINKS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
School of Informatics [Edimbourg]
Titre de la manifestation scientifique :
VLDB 2016 - 42nd International Conference on Very Large Databases
Ville :
New Dehli
Pays :
Inde
Date de début de la manifestation scientifique :
2016-09-05
Titre de l’ouvrage :
International Conference on Very Large Databases (VLDB)
Titre de la revue :
Proceedings of the VLDB Endowment
Date de publication :
2016
Mot(s)-clé(s) en anglais :
RDF
data evolution
alignment
versions
data evolution
alignment
versions
Discipline(s) HAL :
Informatique [cs]/Base de données [cs.DB]
Résumé en anglais : [en]
We investigate the problem of aligning two RDF databases, an essential problem in understanding the evolution of ontologies. Our approaches address three fundamental challenges: 1) the use of " blank " (null) names, 2) ...
Lire la suite >We investigate the problem of aligning two RDF databases, an essential problem in understanding the evolution of ontologies. Our approaches address three fundamental challenges: 1) the use of " blank " (null) names, 2) ontology changes in which different names are used to identify the same entity, and 3) small changes in the data values as well as small changes in the graph structure of the RDF database. We propose approaches inspired by the classical notion of graph bisimulation and extend them to capture the natural metrics of edit distance on the data values and the graph structure. We evaluate our methods on three evolving curated data sets. Overall, our results show that the proposed methods perform well and are scalable.Lire moins >
Lire la suite >We investigate the problem of aligning two RDF databases, an essential problem in understanding the evolution of ontologies. Our approaches address three fundamental challenges: 1) the use of " blank " (null) names, 2) ontology changes in which different names are used to identify the same entity, and 3) small changes in the data values as well as small changes in the graph structure of the RDF database. We propose approaches inspired by the classical notion of graph bisimulation and extend them to capture the natural metrics of edit distance on the data values and the graph structure. We evaluate our methods on three evolving curated data sets. Overall, our results show that the proposed methods perform well and are scalable.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.inria.fr/hal-01417156/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01417156/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01417156/document
- Accès libre
- Accéder au document
- staworko-vldb16.pdf
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- staworko-vldb16.pdf
- Accès libre
- Accéder au document