Efficient Query Answering against Dynamic RDF Databases

François Goasdoué 1, 2 Ioana Manolescu 1, 2 Alexandra Roatis 1, 2
2 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
Abstract : A promising method for efficiently querying RDF data consists of translating SPARQL queries into efficient RDBMS-style operations. However, answering SPARQL queries requires handling RDF reasoning, which must be implemented outside the relational engines that do not support it. We introduce the database (DB) fragment of RDF, going beyond the expressive power of previously studied RDF fragments. We devise novel sound and complete techniques for answering Basic Graph Pattern (BGP) queries within the DB fragment of RDF, exploring the two established approaches for handling RDF semantics, namely reformulation and saturation. In particular, we focus on handling database updates within each approach and propose a method for incrementally maintaining the saturation; updates raise specific difficulties due to the rich RDF semantics. Our techniques are designed to be deployed on top of any RDBMS(-style) engine, and we experimentally study their performance trade-offs.
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François Goasdoué, Ioana Manolescu, Alexandra Roatis. Efficient Query Answering against Dynamic RDF Databases. EDBT - 16th International Conference on Extending Database Technology, Mar 2013, Genoa, Italy. ⟨10.1145/2452376.2452412⟩. ⟨hal-00804503v2⟩

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