Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes

RDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently a W3C standard for querying RDF data, but it mostly provides means for querying simple RDF graphs only, whereas querying with respect to RDFS or other entailment regimes is left outside the current specification. In this paper, we show that SPARQL faces certain unwanted ramifications when querying ontologies in conjunction with RDF datasets that comprise multiple named graphs, and we provide an extension for SPARQL that remedies these effects. Moreover, since RDFS inference has a close relationship with logic rules, we generalize our approach to select a custom ruleset for specifying inferences to be taken into account in a SPARQL query. We show that our extensions are technically feasible by providing benchmark results for RDFS querying in our prototype system GiaBATA, which uses Datalog coupled with a per...

• Type: Conference
• Year: 2009
• Where: SEMWEB
• Authors: Giovambattista Ianni, Thomas Krennwallner, Alessandra Martello, Axel Polleres
• Keywords: Internet Technology, RDFS Inference, RDFS Querying Systems, SEMWEB 2009, Simple Rdf Graphs