Class/Object

net.sansa_stack.inference.spark.backwardchaining

BackwardChainingReasonerDataframe

Related Docs: object BackwardChainingReasonerDataframe | package backwardchaining

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class BackwardChainingReasonerDataframe extends Logging

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Instance Constructors

  1. new BackwardChainingReasonerDataframe(session: SparkSession, rules: Set[Rule], graph: Dataset[RDFTriple])

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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. val DUMMY_VAR: Node

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

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

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  9. def debug(msg: ⇒ String): Unit

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

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  11. def equals(arg0: Any): Boolean

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

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

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  14. def error(msg: ⇒ String): Unit

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  15. def extractWithIndex(graph: Dataset[RDFTriple]): Map[Node, Dataset[RDFTriple]]

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    Computes the triples for each schema property p, e.g.

    Computes the triples for each schema property p, e.g. rdfs:subClassOf and returns it as mapping from p to the Dataset containing the triples.

    graph

    the RDF graph

    returns

    a mapping from the corresponding schema property to the Dataframe of s-o pairs

  16. def finalize(): Unit

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

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  18. val graph: Dataset[RDFTriple]

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  19. def hashCode(): Int

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

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

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  22. def info(msg: ⇒ String): Unit

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  23. def isEntailed(tp: TriplePattern): Boolean

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  24. def isEntailed(triple: Triple): Boolean

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  25. final def isInstanceOf[T0]: Boolean

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  26. def log: Logger

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  27. def logName: String

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

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  29. final def notify(): Unit

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  30. final def notifyAll(): Unit

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  31. val precomputeSchema: Boolean

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  32. val properties: Set[(Property, Boolean, String)]

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  33. def query(tp: Triple): Dataset[RDFTriple]

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  34. val rules: Set[Rule]

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  35. lazy val schema: Map[Node, Dataset[RDFTriple]]

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  36. val session: SparkSession

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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. final def wait(): Unit

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

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

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

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

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  47. def warn(msg: ⇒ String): Unit

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