class ForwardRuleReasonerNaive extends AbstractForwardRuleReasoner[Jena, RDD[Triple], RDFGraphNative]
A naive implementation of the forward chaining based reasoner that does fix-point iteration, i.e. it applies all rules in each iteration until no new data has been generated. .
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- new ForwardRuleReasonerNaive(sc: SparkContext, rules: Set[Rule])
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def
apply(graph: RDFGraphNative): RDFGraphNative
Applies forward chaining to the given RDF graph and returns a new RDF graph that contains all additional triples based on the underlying set of rules.
Applies forward chaining to the given RDF graph and returns a new RDF graph that contains all additional triples based on the underlying set of rules.
- graph
the RDF graph
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the materialized RDF graph
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- ForwardRuleReasonerNaive → AbstractForwardRuleReasoner
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def
applyRule(rule: Rule, graph: RDFGraphNative): RDFGraphNative
Apply a single rule on the given graph.
Apply a single rule on the given graph.
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the rule
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the graph
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def
applyRules(graph: RDFGraphNative): RDFGraphNative
Apply a set of rules on the given graph.
Apply a set of rules on the given graph.
- graph
the graph
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(Since version ) see corresponding Javadoc for more information.