Scalable Authoritative OWL Reasoning on a Billion Triples
msra(2008)
摘要
In this paper we present a scalable algorithm for performing a subset of OWL reasoning over web data using a rule-based approach to forward-chaining; in particular, we identify the problem of ontology hijacking: new ontologies published on the Web re-defining the semantics of existing concepts resident in other ontologies. Our solution introduces consideration of authoritative sources. We present the results of applying our methods on a re-crawl of the billion triple challenge dataset.
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关键词
Ontology (information science),Ontology,Semantics,Information retrieval,Computer science,Scalability,Artificial intelligence,Monad (category theory),Scalable algorithms
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