Dontopedia

Column1 String Mapping

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)

Column1 String Mapping has 7 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

7 facts·6 predicates·1 sources·1 in dispute

Mostly:rdf:type(2), source column(1), target column(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

isMappedByIs Mapped by(1)

usesMappingUses Mapping(1)

Other facts (7)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

7 facts
PredicateValueRef
Rdf:typeColumn Mapping[1]
Rdf:typeType Preserving Mapping[1]
Source ColumnColumn1[1]
Target ColumnColumn1[1]
Maps TypeString[1]
Preserves Column NameColumn1[1]
Maps toColumn1[1]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:ColumnMapping
sourceColumnbeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:column1
targetColumnbeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:column1
mapsTypebeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:string
typebeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:TypePreservingMapping
preservesColumnNamebeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:column1
mapsTobeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:column1

References (1)

1 references
  1. ctx:claims/beam/4d419257-f629-4f00-be3a-97c5f9475ac8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4d419257-f629-4f00-be3a-97c5f9475ac8
      Show excerpt
      args = getResolvedOptions(sys.argv, ['JOB_NAME', 'input', 'output']) sc = SparkContext() glueContext = GlueContext(sc) spark = glueContext.spark_session job = Job(glueContext) job.init(args['JOB_NAME'], args) # Read data from S3 datasourc

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