Class

net.sansa_stack.inference.spark.forwardchaining

ForwardRuleReasonerOptimizedSQL

Related Doc: package forwardchaining

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class ForwardRuleReasonerOptimizedSQL extends ForwardRuleReasonerOptimized[DataFrame, RDFGraphDataFrame]

An optimized implementation of the forward chaining based reasoner using Spark DataFrames.

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  1. ForwardRuleReasonerOptimizedSQL
  2. ForwardRuleReasonerOptimized
  3. AbstractForwardRuleReasoner
  4. Logging
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Instance Constructors

  1. new ForwardRuleReasonerOptimizedSQL(sparkSession: SparkSession, rules: Set[Rule])

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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: RDFGraphDataFrame): RDFGraphDataFrame

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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: RDFGraphDataFrame): RDFGraphDataFrame

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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

    Definition Classes
    ForwardRuleReasonerOptimized
  6. def applyRules(rules: Seq[Rule], graph: RDFGraphDataFrame): RDFGraphDataFrame

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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

    Definition Classes
    ForwardRuleReasonerOptimized
  7. def applyRules(rdg: RuleDependencyGraph, graph: RDFGraphDataFrame): RDFGraphDataFrame

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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

    Definition Classes
    ForwardRuleReasonerOptimized
  8. def applyRulesOnce(rules: Seq[Rule], graph: RDFGraphDataFrame): RDFGraphDataFrame

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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

    Definition Classes
    ForwardRuleReasonerOptimized
  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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    ForwardRuleReasonerOptimized
  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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  29. def logName: String

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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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    ForwardRuleReasonerOptimized
  35. var ruleExecutionCnt: Int

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    ForwardRuleReasonerOptimized
  36. def showExecutionStats(): Unit

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    ForwardRuleReasonerOptimized
  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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  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 ForwardRuleReasonerOptimized[DataFrame, RDFGraphDataFrame]

Inherited from AbstractForwardRuleReasoner[DataFrame, RDFGraphDataFrame]

Inherited from Logging

Inherited from AnyRef

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