Dontopedia

Datasource

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

Datasource has 8 facts recorded in Dontopedia across 1 reference.

8 facts·8 predicates·1 sources

Mostly:rdf:type(1), connection type(1), format(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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.

appliesToApplies to(1)

feedsFeeds(1)

isFedByIs Fed by(1)

readsFromS3Reads From S3(1)

Other facts (8)

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.

8 facts
PredicateValueRef
Rdf:typeDynamic Frame[1]
Connection TypeS3[1]
FormatCsv[1]
Has Format OptionwithHeader[1]
Reads From PathInput[1]
Feeds IntoApplymapping[1]
Is Fed byS3[1]
FeedsApplymapping[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:DynamicFrame
connectionTypebeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:S3
formatbeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:CSV
hasFormatOptionbeam/4d419257-f629-4f00-be3a-97c5f9475ac8
withHeader
readsFromPathbeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:input
feedsIntobeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:applymapping
isFedBybeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:S3
feedsbeam/4d419257-f629-4f00-be3a-97c5f9475ac8
ex:applymapping

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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