Title
Complete OWL-DL Reasoning Using Relational Databases
Abstract
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
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 García1458.25
José Francisco Aldana Montes227636.81