Dontopedia

synonyms

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

synonyms has 13 facts recorded in Dontopedia across 7 references, with 3 live disagreements.

13 facts·6 predicates·7 sources·3 in dispute

Mostly:rdf:type(5), initializes as(2), is modified by(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (17)

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.

printsPrints(3)

outputsOutputs(2)

returnsReturns(2)

appendsToAppends to(1)

assignedToAssigned to(1)

assignsToAssigns to(1)

assignsVariableAssigns Variable(1)

convertsConverts(1)

initializesInitializes(1)

modifiesModifies(1)

printOutputPrint Output(1)

referencesReferences(1)

returnsToReturns to(1)

Other facts (11)

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.

11 facts
PredicateValueRef
Rdf:typeList[2]
Rdf:typeFunction Result[3]
Rdf:typeVariable[4]
Rdf:typeVariable[5]
Rdf:typeCode Variable[6]
Initializes Asempty-list[1]
Initializes AsEmpty List[2]
Is Modified bySynonyms Append[2]
TypeSynonyms List[4]
Assigned byGet Synonyms Function[6]
Assigned FromGet Synonyms Function[7]

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.

initializesAsbeam/b27efc86-7008-4384-852a-049d06d255cb
empty-list
typebeam/994557bf-59e0-4e88-be18-2bb738f18936
ex:List
initializesAsbeam/994557bf-59e0-4e88-be18-2bb738f18936
ex:empty-list
labelbeam/994557bf-59e0-4e88-be18-2bb738f18936
synonyms
isModifiedBybeam/994557bf-59e0-4e88-be18-2bb738f18936
ex:synonyms-append
typebeam/26375e84-be0b-411d-8740-b19721f3bf80
ex:FunctionResult
typebeam/7bbf6936-789a-4b51-9607-a3b858a8c50f
ex:Variable
typebeam/7bbf6936-789a-4b51-9607-a3b858a8c50f
ex:synonyms-list
typebeam/534be9d2-c97a-4867-8efb-8f090879be4b
ex:Variable
labelbeam/534be9d2-c97a-4867-8efb-8f090879be4b
synonyms
typebeam/a296a949-2c13-4366-96e2-0759ac1499ba
ex:CodeVariable
assignedBybeam/a296a949-2c13-4366-96e2-0759ac1499ba
ex:get-synonyms-function
assignedFrombeam/524c612c-d2c8-4637-96e1-a8bf9b0b6122
ex:get-synonyms-function

References (7)

7 references
  1. ctx:claims/beam/b27efc86-7008-4384-852a-049d06d255cb
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b27efc86-7008-4384-852a-049d06d255cb
      Show excerpt
      entities = [(ent.text, ent.label_) for ent in doc.ents] # Extract synonyms for each token synonyms = [] for token in tokens: pos = get_wordnet_pos(nltk.pos_tag([token])[0][1]) synsets = wordnet.synsets(t
  2. ctx:claims/beam/994557bf-59e0-4e88-be18-2bb738f18936
    • full textbeam-chunk
      text/plain1 KBdoc:beam/994557bf-59e0-4e88-be18-2bb738f18936
      Show excerpt
      stack = [(term, 0)] synonyms = [] while stack: current_term, depth = stack.pop() if depth > 5: continue for i in range(10): new_synonym = f"{current_term}_{i}" synonym
  3. ctx:claims/beam/26375e84-be0b-411d-8740-b19721f3bf80
    • full textbeam-chunk
      text/plain1 KBdoc:beam/26375e84-be0b-411d-8740-b19721f3bf80
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      4. **Visualizations**: Use visualizations to help identify patterns and outliers in the data. ### Detailed Logging Enhance your logging to capture more details about each lookup: ```python import logging import time logging.basicConfig(
  4. ctx:claims/beam/7bbf6936-789a-4b51-9607-a3b858a8c50f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7bbf6936-789a-4b51-9607-a3b858a8c50f
      Show excerpt
      for word in words: synonyms = thesaurus_lookup(word) print(synonyms) pr.disable() s = io.StringIO() sortby = 'cumulative' ps = pstats.Stats(pr, stream=s).sort_stats(sortby) ps.print_stats() print(s.getvalue()) ``` ### Sampling Im
  5. ctx:claims/beam/534be9d2-c97a-4867-8efb-8f090879be4b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/534be9d2-c97a-4867-8efb-8f090879be4b
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      logging.info(f"Thesaurus lookup for '{word}' took {end_time - start_time:.6f} seconds") return ["synonym1", "synonym2"] # Test the lookup words = ["happy", "sad", "angry"] * 100 # Simulate a larger dataset for word in words:
  6. ctx:claims/beam/a296a949-2c13-4366-96e2-0759ac1499ba
    • full textbeam-chunk
      text/plain995 Bdoc:beam/a296a949-2c13-4366-96e2-0759ac1499ba
      Show excerpt
      return closest_synonyms # Test the synonym expansion terms = ["happy", "sad", "angry"] for term in terms: synonyms = get_synonyms(term) print(f"Synonyms for '{term}': {synonyms}") ``` ### Summary 1. **Setup Environment**: Ens
  7. ctx:claims/beam/524c612c-d2c8-4637-96e1-a8bf9b0b6122
    • full textbeam-chunk
      text/plain1 KBdoc:beam/524c612c-d2c8-4637-96e1-a8bf9b0b6122
      Show excerpt
      - **Dataset Characteristics**: If your dataset has specific characteristics or domain-specific language, you might want to experiment with both models to see which performs better on your particular data. ### Conclusion For query reformula

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