org.dbpedia.extraction.scripts

TypeConsistencyCheck

object TypeConsistencyCheck

Created by Markus Freudenberg

Takes the mapping-based properties dataset and the assigned rdf types and tries to classify them in correct or wrong statements.

Wrong statements are when the type of object IRI is disjoint with the property definition For correct we have different types but we skip them for now 1) Correct type/subtype 2) not correct type/subtype but not disjoint 3) the object IRI is untyped all 1-3 are for now kept together and not split

TODO: this needs special care for English where nt/ttl use different IRIs/URIs

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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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  6. val correctDataset: Dataset

    different datasets where we store the mapped triples depending on their state

  7. val datasets: Seq[Dataset]

  8. val disjoinedClassesMap: HashMap[(OntologyClass, OntologyClass), Boolean]

  9. val disjointDomainDataset: Dataset

  10. val disjointRangeDataset: Dataset

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

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def main(args: Array[String]): Unit

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

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  19. val nonDisjointDomainDataset: Dataset

  20. val nonDisjointRangeDataset: Dataset

  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. val propertyMap: HashMap[String, OntologyProperty]

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

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  25. def toString(): String

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  26. val untypedDomainDataset: Dataset

  27. val untypedRangeDataset: Dataset

  28. final def wait(): Unit

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

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