Abstract | ||
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Real Semantic Web applications, such as biological tools, use large ontologies, that is, ontologies with a large number (millions) of instances. Due to the increasing development of such applications, it is necessary to provide scalable and efficient ontology querying and reasoning systems. DBOWL is a Persistent and Scalable OWL reasoner which stores ontologies and implements reasoning using a relational database. In this paper we present an extension of DBOWL that implements all inference rules for OWL-DL. Furthermore, we describe briefly the reasoning algorithms and their completeness proofs. |
Year | DOI | Venue |
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2009 | 10.1007/978-3-642-03573-9_37 | DEXA |
Keywords | Field | DocType |
inference rule,relational database,semantic web | Codd's 12 rules,Relational calculus,Conjunctive query,Relational database,Computer science,Relational Model/Tasmania,Natural language processing,Artificial intelligence,Relational database management system,Relational model,Domain relational calculus,Database | Conference |
Volume | ISSN | Citations |
5690 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 11 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
María Del Mar Roldán García | 1 | 45 | 8.25 |
José Francisco Aldana Montes | 2 | 276 | 36.81 |