SPARQL update under RDFS entailment in fully materialized and redundancy-free triple stores
Albin Ahmeti, Axel Polleres
Abstract
Albin Ahmeti, Axel Polleres
Abstract
Abstract. Processing the dynamic evolution of RDF stores has recently been stan-dardized in the SPARQL 1.1 Update specification. However, computing answers entailed by ontologies in triple stores is usually treated orthogonal to updates. Even the W3C’s recent SPARQL 1.1 Update language and SPARQL 1.1 Entail-ment Regimes specifications explicitly exclude a standard behavior how SPARQL endpoints should treat entailment regimes other than simple entailment in the context of updates. In this paper, we take a first step to close this gap, by drawing from query rewriting techniques explored in the context of DL-Lite. We define a fragment of SPARQL basic graph patterns corresponding to (the RDFS fragment of) DL-Lite and the corresponding SPARQL update language discussing possible semantics along with potential strategies for implementing them. We treat both (i) reduced RDF Stores, that is, redundancy-free RDF stores that do not store any RDF triples (corresponding to DL Lite ABox statements) entailed by others already, and (ii) materialized RDF stores, which store all entailed triples explicitly. 1
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Abstract. Processing the dynamic evolution of RDF stores has recently been stan-dardized in the SPARQL 1.1 Update specification. However, computing answers entailed by ontologies in triple stores is usually treated orthogonal to updates. Even the W3C’s recent SPARQL 1.1 Update language and SPARQL 1.1 Entail-ment Regimes specifications explicitly exclude a standard behavior how SPARQL endpoints should treat entailment regimes other than simple entailment in the context of updates. In this paper, we take a first step to close this gap, by drawing from query rewriting techniques explored in the context of DL-Lite. We define a fragment of SPARQL basic graph patterns corresponding to (the RDFS fragment of) DL-Lite and the corresponding SPARQL update language discussing possible semantics along with potential strategies for implementing them. We treat both (i) reduced RDF Stores, that is, redundancy-free RDF stores that do not store any RDF triples (corresponding to DL Lite ABox statements) entailed by others already, and (ii) materialized RDF stores, which store all entailed triples explicitly. 1
Key concepts: SPARQL, RDF Schema, RDF, Computer science, Named graph, Logical consequence, Linked data, Rewriting