Defining Key Semantics for the RDF Datasets: Experiments and Evaluations
| Autor: | Michel Leclère, Fatiha Saïs, François Scharffe, Jérôme David, Michel Chein, Danai Symeonidou, Nathalie Pernelle, Madalina Croitoru, Manuel Atencia |
|---|---|
| Přispěvatelé: | Heterogeneous and Adaptive distributed DAta management Systems (HADAS), Laboratoire d'Informatique de Grenoble (LIG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Computer mediated exchange of structured knowledge (EXMO), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Graphs for Inferences on Knowledge (GRAPHIK), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM), Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Information retrieval
Relational database Computer science [INFO.INFO-WB]Computer Science [cs]/Web 02 engineering and technology computer.file_format Semantics Predicate (grammar) [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing RDF computer |
| Zdroj: | 21st International Conference on Conceptual Structures ICCS: International Conference on Conceptual Structures ICCS: International Conference on Conceptual Structures, Jul 2014, Iasi, Romania. pp.65-78, ⟨10.1007/978-3-319-08389-6_7⟩ Graph-Based Representation and Reasoning ISBN: 9783319083889 ICCS |
| Popis: | International audience; Many techniques were recently proposed to automate the linkage of RDF datasets. Predicate selection is the step of the linkage process that consists in selecting the smallest set of relevant predicates needed to enable instance comparison. We call keys this set of predicates that is analogous to the notion of keys in relational databases. We explain formally the different assumptions behind two existing key semantics. We then evaluate experimentally the keys by studying how discovered keys could help dataset interlinking or cleaning. We discuss the experimental results and show that the two different semantics lead to comparable results on the studied datasets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|