DMCA
Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes
Cached
Download Links
| Citations: | 10 - 3 self |
BibTeX
@MISC{Ianni_dynamicquerying,
author = {Giovambattista Ianni and Thomas Krennwallner and Alessandra Martello and Axel Polleres},
title = {Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes },
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
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 persistent Relational Database as a back-end for implementing SPARQL with dynamic rule-based inference. By employing different optimization techniques like magic set rewriting our system remains competitive with state-of-the-art RDFS querying systems.
Keyphrases
dynamic querying mass-storage rdf data rule-based entailment regime rdf schema close relationship logic rule entailment regime prototype system giabata persistent relational database state-of-the-art rdfs different optimization technique simple rdf graph lightweight ontology language certain unwanted ramification scalable rdfs inference rdfs inference benchmark result w3c standard sparql query rdf datasets current specification rdf data custom ruleset dynamic rule-based inference
