Optimizing SPARQL Query Answering over OWL Ontologies
نویسندگان
چکیده
منابع مشابه
Optimizing SPARQL Query Answering over OWL Ontologies
The SPARQL query language is currently being extended by the World Wide Web Consortium (W3C) with so-called entailment regimes. An entailment regime defines how queries are evaluated under more expressive semantics than SPARQL’s standard simple entailment, which is based on subgraph matching. The queries are very expressive since variables can occur within complex concepts and can also bind to ...
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The SPARQL query language is currently being extended by W3C with so-called entailment regimes, which define how queries are evaluated under more expressive semantics than SPARQL’s standard simple entailment. We describe a sound and complete algorithm for the OWL Direct Semantics entailment regime. The queries of the regime are very expressive since variables can occur within complex class expr...
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The SPARQL query language is currently being extended by W3C with so-called entailment regimes, which define how queries are evaluated under more expressive semantics than SPARQL’s standard simple entailment. We describe a sound and complete algorithm for the OWL Direct Semantics entailment regime. The queries of the regime are very expressive since variables can occur within complex class expr...
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Query answering—the computation of answers to users’ queries w.r.t. ontologies and data—is an important task provided by many description logic (DL) reasoners. Although much effort has been spent on optimizing the ‘reasoning’ part of query answering, i.e., the extraction of the individuals that satisfy a concept or role atom, less attention has been given to optimizing the actual query answerin...
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The design of tractable Description Logics, like EL [1], DL-Lite [2], and RL [5] have spurred the design and implementation of highly scalable systems such as OWLim, Oracle’s Semantic Graph, and more. The attractive properties of the these systems have in many occasions led application developers to use them even in cases where the input ontology is expressed in the far more expressive SROIQ la...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2013
ISSN: 1076-9757
DOI: 10.1613/jair.3872