Class

net.sansa_stack.inference.spark.forwardchaining.triples

TransitiveReasoner

Related Doc: package triples

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class TransitiveReasoner extends ForwardRuleReasoner

An engine to compute the transitive closure (TC) for a set of triples given in several datastructures.

Linear Supertypes
ForwardRuleReasoner, Profiler, Logging, AnyRef, Any
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  1. TransitiveReasoner
  2. ForwardRuleReasoner
  3. Profiler
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Instance Constructors

  1. new TransitiveReasoner(sc: SparkContext, parallelism: Int)

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  2. new TransitiveReasoner(sc: SparkContext, property: Node, parallelism: Int)

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  3. new TransitiveReasoner(sc: SparkContext, properties: Seq[Node], parallelism: Int)

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Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

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  4. def addTransitivePairs[A, B](s: Set[(A, B)]): Set[(A, B)]

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  5. def apply(graph: RDFGraph): RDFGraph

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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
    TransitiveReasonerForwardRuleReasoner
  6. def apply(triples: RDD[Triple]): RDD[Triple]

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    Applies forward chaining to the given RDD of RDF triples and returns a new RDD of RDF triples that contains all additional triples based on the underlying set of rules.

    Applies forward chaining to the given RDD of RDF triples and returns a new RDD of RDF triples that contains all additional triples based on the underlying set of rules.

    triples

    the RDF triples

    returns

    the materialized set of RDF triples

    Definition Classes
    ForwardRuleReasoner
  7. final def asInstanceOf[T0]: T0

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    Any
  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )
  9. def computeTransitiveClosure(edges: Dataset[Triple]): Dataset[Triple]

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    Computes the transitive closure for a Dataframe of triples

    Computes the transitive closure for a Dataframe of triples

    edges

    the Dataframe of triples

    returns

    a Dataframe containing the transitive closure of the triples

  10. def computeTransitiveClosure[A](edges: RDD[(A, A)])(implicit arg0: ClassTag[A]): RDD[(A, A)]

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    Computes the transitive closure for an RDD of tuples

    Computes the transitive closure for an RDD of tuples

    edges

    the RDD of tuples

    returns

    an RDD containing the transitive closure of the tuples

  11. def computeTransitiveClosure(triples: RDD[Triple], predicate: Node): RDD[Triple]

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    Computes the transitive closure for the given predicate on an RDD of triples.

    Computes the transitive closure for the given predicate on an RDD of triples.

    triples

    the RDD of triples

    predicate

    the predicate

    returns

    an RDD containing the transitive closure of the triples

  12. def computeTransitiveClosure(triples: RDD[Triple]): RDD[Triple]

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    Computes the transitive closure on an RDD of triples.

    Computes the transitive closure on an RDD of triples. Note, that the assumption is that all triples do have the same predicate.

    triples

    the RDD of triples

    returns

    an RDD containing the transitive closure of the triples

  13. def computeTransitiveClosure(triples: Set[Triple]): Set[Triple]

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    Computes the transitive closure on a set of triples, i.e.

    Computes the transitive closure on a set of triples, i.e. it is computed in-memory by the driver. Note, that the assumption is that all triples do have the same predicate.

    triples

    the set of triples

    returns

    a set containing the transitive closure of the triples

  14. def computeTransitiveClosurePairs[A, B](s: Set[(A, B)]): Set[(A, B)]

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  15. def computeTransitiveClosureSemiNaive[A](edges: RDD[(A, A)])(implicit arg0: ClassTag[A]): RDD[(A, A)]

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    Semi-naive computation of the transitive closure T for an RDD of tuples R=(x,y).

    Semi-naive computation of the transitive closure T for an RDD of tuples R=(x,y).

    (1) T = R
    (2) ∆T = R
    (3) while ∆T != ∅ do
    (4) ∆T = ∆T ◦ R − T
    (5) T = T ∪ ∆T
    (6) end
    edges

    the RDD of tuples (x,y)

    returns

    an RDD containing the transitive closure of the tuples

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

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    Definition Classes
    Logging
  17. def debug(msg: ⇒ String, e: Throwable): Unit

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    Logging
  18. def debug(msg: ⇒ String): Unit

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    Logging
  19. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  20. def equals(arg0: Any): Boolean

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    AnyRef → Any
  21. def error(msg: ⇒ String, o: Any, os: Any*): Unit

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

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    Logging
  23. def error(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  24. def extractTriples(triples: RDD[Triple], subject: Option[Node], predicate: Option[Node], obj: Option[Node]): RDD[Triple]

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    Extracts all triples that match the given subject, predicate and object if defined.

    Extracts all triples that match the given subject, predicate and object if defined.

    triples

    the RDD of triples

    subject

    the subject

    predicate

    the predicate

    obj

    the object

    returns

    the RDD of triples that match

    Definition Classes
    ForwardRuleReasoner
  25. def extractTriples(triples: RDD[Triple], predicate: Node): RDD[Triple]

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    Extracts all triples for the given predicate.

    Extracts all triples for the given predicate.

    triples

    the RDD of triples

    predicate

    the predicate

    returns

    the RDD of triples that contain the predicate

    Definition Classes
    ForwardRuleReasoner
  26. def extractTriples(triples: Set[Triple], predicate: Node): Set[Triple]

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    Extracts all triples for the given predicate.

    Extracts all triples for the given predicate.

    triples

    the triples

    predicate

    the predicate

    returns

    the set of triples that contain the predicate

    Definition Classes
    ForwardRuleReasoner
  27. def finalize(): Unit

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  28. final def getClass(): Class[_]

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  29. def hashCode(): Int

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

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

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    Logging
  32. def info(msg: ⇒ String): Unit

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    Logging
  33. final def isInstanceOf[T0]: Boolean

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    Any
  34. def log: Logger

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    protected
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    Logging
  35. def logName: String

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    protected
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    Logging
  36. final def ne(arg0: AnyRef): Boolean

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    AnyRef
  37. final def notify(): Unit

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    AnyRef
  38. final def notifyAll(): Unit

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    AnyRef
  39. val parallelism: Int

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  40. def profile[R](block: ⇒ R): R

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    Profiler
  41. val properties: Seq[Node]

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

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    AnyRef
  43. def toString(): String

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    AnyRef → Any
  44. def trace(msg: ⇒ String, o: Any, os: Any*): Unit

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

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    Logging
  46. def trace(msg: ⇒ String): Unit

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    Logging
  47. final def wait(): Unit

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

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

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    @throws( ... )
  50. def warn(msg: ⇒ String, o: Any, os: Any*): Unit

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

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    Logging
  52. def warn(msg: ⇒ String): Unit

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    Logging

Inherited from ForwardRuleReasoner

Inherited from Profiler

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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