Class

net.sansa_stack.inference.spark.utils

RDFSSchemaExtractor

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class RDFSSchemaExtractor extends Logging

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(session: SparkSession)

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

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  2. final def ##(): Int

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  5. def clone(): AnyRef

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

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

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  13. def error(msg: ⇒ String): Unit

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  14. def extract(graph: RDFGraphDataFrame): Map[String, 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

  15. def extract(graph: RDFGraphNative): Map[String, RDD[(String, String)]]

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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

  16. def extractAndDistribute(graph: RDFGraphNative): Map[String, Broadcast[Map[String, Set[String]]]]

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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

  17. def finalize(): Unit

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  24. lazy val log: Logger

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  28. val properties: List[String]

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  30. def toString(): String

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