Trait

net.sansa_stack.inference.spark.forwardchaining

TransitiveReasoner

Related Doc: package forwardchaining

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trait TransitiveReasoner extends Profiler

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

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  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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def computeTransitiveClosure[A](edges: DataFrame)(implicit arg0: ClassTag[A]): DataFrame

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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

  7. 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

  8. def computeTransitiveClosure(triples: RDD[RDFTriple], predicate: String): RDD[RDFTriple]

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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

  9. def computeTransitiveClosure(triples: RDD[RDFTriple]): RDD[RDFTriple]

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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

  10. def computeTransitiveClosure(triples: Set[RDFTriple]): Set[RDFTriple]

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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

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

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

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  13. def debug(msg: ⇒ String): Unit

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

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  19. def finalize(): Unit

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  20. final def getClass(): Class[_]

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  21. def hashCode(): Int

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

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

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  24. def info(msg: ⇒ String): Unit

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  25. final def isInstanceOf[T0]: Boolean

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  26. lazy val log: Logger

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

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  28. final def notify(): Unit

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  29. final def notifyAll(): Unit

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  30. def profile[R](block: ⇒ R): R

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

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  32. def toString(): String

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

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  35. def trace(msg: ⇒ String): Unit

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  36. final def wait(): Unit

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  37. final def wait(arg0: Long, arg1: Int): Unit

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  38. final def wait(arg0: Long): Unit

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

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

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  41. def warn(msg: ⇒ String): Unit

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