Dontopedia

WordNet

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

WordNet has 2 facts recorded in Dontopedia across 2 references.

2 facts·1 predicates·2 sources
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.

hasInstanceHas Instance(1)

isTypeOfIs Type of(1)

rdf:typeRdf:type(1)

typeType(1)

Other facts (1)

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.

1 facts
PredicateValueRef
Has SubtypeWord Net[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.

2 undated
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hasSubtypebeam/0080335e-5217-4745-8e22-4822685c6012
ex:WordNet
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labelbeam/869acbd5-0cda-40b0-94b3-06d5699021f2
WordNet

References (2)

2 references
  1. [1]0080335e 5217 4745 8e22 4822685c60121 fact
    ctx:claims/beam/0080335e-5217-4745-8e22-4822685c6012
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0080335e-5217-4745-8e22-4822685c6012
      Show excerpt
      ``` I'm looking for ways to improve the accuracy of the expansion algorithm. Can someone help me with some suggestions? ->-> 2,20 [Turn 10147] Assistant: To improve the accuracy of your synonym expansion algorithm, you can consider several…
  2. [2]869acbd5 0cda 40b0 94b3 06d5699021f21 fact
    ctx:claims/beam/869acbd5-0cda-40b0-94b3-06d5699021f2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/869acbd5-0cda-40b0-94b3-06d5699021f2
      Show excerpt
      elif term.endswith("ed"): return [term[:-2] + "ing"] # WordNet approach synonyms = set() for syn in wn.synsets(term): for lemma in syn.lemmas(): synonyms.add(lemma.name()) # NLP appr…

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