Class

net.sansa_stack.inference.spark.forwardchaining.triples

AbstractForwardRuleReasonerRDFS

Related Doc: package triples

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abstract class AbstractForwardRuleReasonerRDFS[Rdf <: RDF, D, G <: AbstractRDFGraphSpark[Rdf, D, G]] extends TransitiveReasoner

A forward chaining implementation of the RDFS entailment regime.

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TransitiveReasoner, ForwardRuleReasoner, Profiler, Logging, AnyRef, Any
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  1. AbstractForwardRuleReasonerRDFS
  2. TransitiveReasoner
  3. ForwardRuleReasoner
  4. Profiler
  5. Logging
  6. AnyRef
  7. Any
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Instance Constructors

  1. new AbstractForwardRuleReasonerRDFS()(implicit rdfOps: RDFOps[Rdf], session: SparkSession, parallelism: Int = 2)

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    create a new RDFS forward chaining reasoner

    create a new RDFS forward chaining reasoner

    session

    the Apache Spark session

    parallelism

    the level of parallelism

Abstract Value Members

  1. abstract def postprocess(graph: G): G

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  2. abstract def preprocess(graph: G): G

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  3. abstract def rule11(graph: G): G

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  4. abstract def rule2(graph: G): G

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  5. abstract def rule3(graph: G): G

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  6. abstract def rule5(graph: G): G

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  7. abstract def rule7(graph: G): G

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  8. abstract def rule9(graph: G): G

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Concrete Value Members

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

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

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. def addTransitivePairs[A, B](s: Set[(A, B)]): Set[(A, B)]

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    Definition Classes
    TransitiveReasoner
  5. def apply(graph: G): G

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  6. 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
  7. 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
  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. 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

    Definition Classes
    TransitiveReasoner
  11. 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

    Definition Classes
    TransitiveReasoner
  12. 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

    Definition Classes
    TransitiveReasoner
  13. 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

    Definition Classes
    TransitiveReasoner
  14. 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

    Definition Classes
    TransitiveReasoner
  15. def computeTransitiveClosurePairs[A, B](s: Set[(A, B)]): Set[(A, B)]

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    Definition Classes
    TransitiveReasoner
  16. 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

    Definition Classes
    TransitiveReasoner
  17. def debug(msg: ⇒ String, o: Any, os: Any*): Unit

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

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    Definition Classes
    Logging
  19. def debug(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  20. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  21. def equals(arg0: Any): Boolean

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

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    Definition Classes
    Logging
  23. def error(msg: ⇒ String, e: Throwable): Unit

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    Definition Classes
    Logging
  24. def error(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  25. 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
  26. 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
  27. 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
  28. def finalize(): Unit

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

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    Definition Classes
    AnyRef → Any
  30. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  31. def info(msg: ⇒ String, o: Any, os: Any*): Unit

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    Definition Classes
    Logging
  32. def info(msg: ⇒ String, e: Throwable): Unit

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    Definition Classes
    Logging
  33. def info(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  34. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  35. var level: RDFSLevel

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  36. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  37. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  38. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  39. final def notify(): Unit

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    Definition Classes
    AnyRef
  40. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  41. val parallelism: Int

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    Definition Classes
    TransitiveReasoner
  42. def profile[R](block: ⇒ R): R

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    Definition Classes
    Profiler
  43. val properties: Seq[Node]

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    Definition Classes
    TransitiveReasoner
  44. implicit val rdfOps: RDFOps[Rdf]

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

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    Definition Classes
    AnyRef
  46. def toString(): String

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

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    Definition Classes
    Logging
  48. def trace(msg: ⇒ String, e: Throwable): Unit

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    Definition Classes
    Logging
  49. def trace(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  50. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  53. def warn(msg: ⇒ String, o: Any, os: Any*): Unit

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    Definition Classes
    Logging
  54. def warn(msg: ⇒ String, e: Throwable): Unit

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    Definition Classes
    Logging
  55. def warn(msg: ⇒ String): Unit

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    Definition Classes
    Logging

Inherited from TransitiveReasoner

Inherited from ForwardRuleReasoner

Inherited from Profiler

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped