RDF Graph Alignment with Bisimulation
Document type :
Communication dans un congrès avec actes
DOI :
Title :
RDF Graph Alignment with Bisimulation
Author(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]
Conference title :
VLDB 2016 - 42nd International Conference on Very Large Databases
City :
New Dehli
Country :
Inde
Start date of the conference :
2016-09-05
Book title :
International Conference on Very Large Databases (VLDB)
Journal title :
Proceedings of the VLDB Endowment
Publication date :
2016
English keyword(s) :
RDF
data evolution
alignment
versions
data evolution
alignment
versions
HAL domain(s) :
Informatique [cs]/Base de données [cs.DB]
English abstract : [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) ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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