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Ontology query answering on databases
Mei, Jing ; Ma, Li ; Pan, Yue
2006
关键词SEMANTIC-WEB OWL RULES
英文摘要With the fast development of Semantic Web, more and more RDF and OWL ontologies are created and shared. The effective management, such as storage, inference and query, of these ontologies on databases gains increasing attention. This paper addresses ontology query answering on databases by means of Datalog programs. Via epistemic operators, integrity constraints are introduced, and used for conveying semantic aspects of OWL that are not covered by Datalog-style rule languages. We believe such a processing suitable to capture ontologies in the database flavor, while keeping reasoning tractable. Here, we present a logically equivalent knowledge base whose (sound and complete) inference system appears as a Datalog program. As such, SPARQL query answering on OWL ontologies could be solved in databases. Bi-directional strategies, taking advantage of both forward and backward chaining, are then studied to support this kind of customized Datalog programs, returning exactly answers to the query within our logical framework.; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; EI; CPCI-S(ISTP); 2
语种英语
出处EI ; SCI
内容类型其他
源URL[http://hdl.handle.net/20.500.11897/406724]  
专题数学科学学院
推荐引用方式
GB/T 7714
Mei, Jing,Ma, Li,Pan, Yue. Ontology query answering on databases. 2006-01-01.
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