Class

net.sansa_stack.inference.spark.forwardchaining

ForwardRuleReasonerOptimized

Related Doc: package forwardchaining

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abstract class ForwardRuleReasonerOptimized[V, G <: AbstractRDFGraph[V, G]] extends AbstractForwardRuleReasoner[V, G]

An optimized implementation of the forward chaining based reasoner.

Linear Supertypes
AbstractForwardRuleReasoner[V, G], Logging, AnyRef, Any
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  1. ForwardRuleReasonerOptimized
  2. AbstractForwardRuleReasoner
  3. Logging
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Instance Constructors

  1. new ForwardRuleReasonerOptimized(sparkSession: SparkSession, rules: Set[Rule], ruleExecutor: RuleExecutor[V, G])

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. def apply(graph: G): G

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    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

    returns

    the materialized RDF graph

    Definition Classes
    ForwardRuleReasonerOptimizedAbstractForwardRuleReasoner
  5. def applyRule(rule: Rule, graph: G): G

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    Apply a single rule on the given graph.

    Apply a single rule on the given graph.

    rule

    the rule

    graph

    the graph

  6. def applyRules(rules: Seq[Rule], graph: G): G

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    Apply the set of rules on the given graph by doing fix-point iteration.

    Apply the set of rules on the given graph by doing fix-point iteration.

    rules

    the rules

    graph

    the graph

  7. def applyRules(rdg: RuleDependencyGraph, graph: G): G

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    Apply the set of rules on the given graph by doing fix-point iteration.

    Apply the set of rules on the given graph by doing fix-point iteration.

    rdg

    the rule dependency graph

    graph

    the RDF graph

  8. def applyRulesOnce(rules: Seq[Rule], graph: G): G

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    Apply the set of rules on the given graph once.

    Apply the set of rules on the given graph once.

    rules

    the rules

    graph

    the graph

  9. final def asInstanceOf[T0]: T0

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  10. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  11. var countCnt: Int

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  12. def debug(msg: ⇒ String, o: Any, os: Any*): Unit

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  13. def debug(msg: ⇒ String, e: Throwable): Unit

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  14. def debug(msg: ⇒ String): Unit

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  15. var distinctCnt: Int

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  16. final def eq(arg0: AnyRef): Boolean

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  17. def equals(arg0: Any): Boolean

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  18. def error(msg: ⇒ String, o: Any, os: Any*): Unit

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  19. def error(msg: ⇒ String, e: Throwable): Unit

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  20. def error(msg: ⇒ String): Unit

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  21. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  22. final def getClass(): Class[_]

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  23. def hashCode(): Int

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  24. def info(msg: ⇒ String, o: Any, os: Any*): Unit

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  25. def info(msg: ⇒ String, e: Throwable): Unit

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  26. def info(msg: ⇒ String): Unit

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  27. final def isInstanceOf[T0]: Boolean

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  28. def log: Logger

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    protected
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  29. def logName: String

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    protected
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  30. var log_: Logger

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  31. final def ne(arg0: AnyRef): Boolean

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  32. final def notify(): Unit

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  33. final def notifyAll(): Unit

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  34. def reset(): Unit

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  35. var ruleExecutionCnt: Int

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  36. def showExecutionStats(): Unit

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  37. final def synchronized[T0](arg0: ⇒ T0): T0

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  38. def toString(): String

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  39. def trace(msg: ⇒ String, o: Any, os: Any*): Unit

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  40. def trace(msg: ⇒ String, e: Throwable): Unit

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  41. def trace(msg: ⇒ String): Unit

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  42. var unionCnt: Int

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  43. final def wait(): Unit

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    @throws( ... )
  44. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  45. final def wait(arg0: Long): Unit

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  46. def warn(msg: ⇒ String, o: Any, os: Any*): Unit

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  47. def warn(msg: ⇒ String, e: Throwable): Unit

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  48. def warn(msg: ⇒ String): Unit

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Inherited from AbstractForwardRuleReasoner[V, G]

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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