Class

net.sansa_stack.inference.spark.utils

RDFSSchemaExtractor

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class RDFSSchemaExtractor extends Logging with Serializable

An extractor of the schema for RDFS.

Currently, it's supports the extraction of triples (s,p,o) with p being

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Instance Constructors

  1. new RDFSSchemaExtractor()

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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

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  8. def debug(msg: ⇒ String): Unit

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

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  10. def equals(arg0: Any): Boolean

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

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

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  13. def error(msg: ⇒ String): Unit

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  14. def extract(triples: RDD[Triple]): RDD[Triple]

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    Extracts the schema triples from the given triples.

    Extracts the schema triples from the given triples.

    triples

    the triples

    returns

    the schema triples

  15. def extract(graph: RDFGraph): RDFGraph

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    Extracts the RDF graph containing only the schema triples from the RDF graph.

    Extracts the RDF graph containing only the schema triples from the RDF graph.

    graph

    the RDF graph

    returns

    the RDF graph containing only the schema triples

  16. def extractWithIndex(graph: RDFGraphDataFrame): Map[Node, DataFrame]

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    Computes the s-o pairs for each schema property p, e.g.

    Computes the s-o pairs for each schema property p, e.g. rdfs:subClassOf and returns it as mapping from p to the Dataframe containing s and o.

    graph

    the RDF graph

    returns

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

  17. def extractWithIndex(graph: RDFGraphNative): Map[Node, RDD[(Node, Node)]]

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    Computes the s-o pairs for each schema property p, e.g.

    Computes the s-o pairs for each schema property p, e.g. rdfs:subClassOf and returns it as mapping from p to the RDD of s-o pairs.

    graph

    the RDF graph

    returns

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

  18. def extractWithIndexAndDistribute(sc: SparkContext, graph: RDFGraphNative): Map[Node, Broadcast[Map[Node, Set[Node]]]]

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    Computes the s-o pairs for each schema property, e.g.

    Computes the s-o pairs for each schema property, e.g. rdfs:subClassOf and distributes it to all worker nodes via broadcast.

    graph

    the RDF graph

    returns

    a mapping from the corresponding schema property to the broadcast variable that wraps the multimap with s-o pairs

  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. 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 properties: Set[Node]

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

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  33. def toString(): String

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

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

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  36. def trace(msg: ⇒ String): Unit

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  37. final def wait(): Unit

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

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

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

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

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  42. def warn(msg: ⇒ String): Unit

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