Dontopedia

Example Schema Definition

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

Example Schema Definition has 10 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

10 facts·9 predicates·1 sources·1 in dispute

Mostly:has key(2), rdf:type(1), defines(1)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (10)

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.

10 facts
PredicateValueRef
Has KeyClass Key[1]
Has KeyProperties Key[1]
Rdf:typeCode Example[1]
DefinesClass Myclass[1]
Configures VectorizerText2vec Contextionary[1]
Configures Vector IndexHnsw Index[1]
InvokesSchema Creation[1]
Has Vectorizer ConfigVectorizer Config[1]
Uses Python Syntaxtrue[1]
Creates ClassMy Class[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/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:CodeExample
definesbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:class-myclass
configuresVectorizerbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:text2vec-contextionary
configuresVectorIndexbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:hnsw-index
invokesbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:schema-creation
hasKeybeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:class-key
hasKeybeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:properties-key
hasVectorizerConfigbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:vectorizer-config
usesPythonSyntaxbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
true
createsClassbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:MyClass

References (1)

1 references
  1. ctx:claims/beam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
      Show excerpt
      .with_near_vector(near_vector_128) .with_limit(10) .do() ) print("Vector search query successful (size 128):") print(result_128) query_vector_256 = [0.5, 0.6, 0.7, 0.8] * 64 # Example query vector of size 256 near_vector_256

See also

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