Query-Oriented Summarization of RDF Graphs

Šejla Čebirić 1, 2 François Goasdoué 3, 1 Ioana Manolescu 1, 2
1 OAK - Database optimizations and architectures for complex large data
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 PILGRIM - Gradedness, Imprecision, and Mediation in Database Management Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : The Resource Description Framework (RDF) is the W3C's graph data model for Semantic Web applications. We study the problem of RDF graph summarization: given an input RDF graph G, find an RDF graph G’ which summarizes G as accurately as possible, while being possibly orders of magnitude smaller than the original graph. Our summaries are aimed as a help for query formulation and optimization; in particular, querying a summary of a graph should reflect whether the query has some answers against this graph. We introduce two summaries: a baseline which is compact and simple and satisfies certain accuracy and representativeness properties, but may oversimplify the RDF graph, and a refined one which trades some of these properties for more accuracy in representing the structure. The demonstration will allow the audience to compute such summaries out of a large variety of datasets, and explore their usage for data exploration and query optimization.
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Šejla Čebirić, François Goasdoué, Ioana Manolescu. Query-Oriented Summarization of RDF Graphs. Proceedings of the VLDB Endowment, Aug 2015, Kohala Coast, Hawaii, United States. ⟨hal-01178140⟩

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