Dontopedia

Search Intent

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Search Intent has 2 facts recorded in Dontopedia across 1 reference.

2 facts·2 predicates·1 sources
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.

documentsNotesDocuments Notes(1)

expectsPotentialMatchesExpects Potential Matches(1)

Other facts (2)

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.

2 facts
PredicateValueRef
Is Enhanced byReformulated Queries[1]
Is Understood byReformulated Queries[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.

isEnhancedBybeam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472
ex:reformulated-queries
isUnderstoodBybeam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472
ex:reformulated-queries

References (1)

1 references
  1. ctx:claims/beam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ca2653b8-c25f-4a54-bdfa-ff6ea71f5472
      Show excerpt
      true_vector = [doc in ground_truth_documents for doc in retrieved_documents] pred_vector = [True] * len(retrieved_documents) y_true.extend(true_vector) y_pred.extend(pred_vector) # Calculate precision and recall precision

See also

Keep researching

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