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Find Closest Match

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

Find Closest Match has 58 facts recorded in Dontopedia across 2 references, with 13 live disagreements.

58 facts·33 predicates·2 sources·13 in dispute

Mostly:has parameter(7), initializes(6), returns(3)

Maturity scale raw canonical shape-checked rule-derived certified

Uses Distance Metricin disputeusesDistanceMetric

Has Return Statementin disputehasReturnStatement

Returnsin disputereturns

  • Closest Word[1]sourceall time · A8d4e00d 0adb 49c2 A304 E8356b9d69a3
  • Closest Word Variable[2]all time · Dbb91cd4 736d 4452 9b19 46651567b10b
  • closest_word[1]sourceall time · A8d4e00d 0adb 49c2 A304 E8356b9d69a3

Has Loopin disputehasLoop

Initializesin disputeinitializes

Has Parameterin disputehasParameter

  • Dictionary Parameter[2]all time · Dbb91cd4 736d 4452 9b19 46651567b10b
  • Threshold Default[2]all time · Dbb91cd4 736d 4452 9b19 46651567b10b
  • Threshold Parameter[2]all time · Dbb91cd4 736d 4452 9b19 46651567b10b
  • Word Parameter[2]all time · Dbb91cd4 736d 4452 9b19 46651567b10b
  • word[1]sourceall time · A8d4e00d 0adb 49c2 A304 E8356b9d69a3
  • threshold[1]sourceall time · A8d4e00d 0adb 49c2 A304 E8356b9d69a3
  • dictionary[1]sourceall time · A8d4e00d 0adb 49c2 A304 E8356b9d69a3

Defined inin disputedefinedIn

Updates Variablein disputeupdatesVariable

Has Conditional Logicin disputehasConditionalLogic

Assigns toin disputeassignsTo

Compares Distancein disputecomparesDistance

Updatesin disputeupdates

  • min_distance[1]all time · A8d4e00d 0adb 49c2 A304 E8356b9d69a3
  • closest_word[1]all time · A8d4e00d 0adb 49c2 A304 E8356b9d69a3

Inbound mentions (8)

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.

isParameterOfIs Parameter of(3)

containsFunctionContains Function(1)

hasPartHas Part(1)

hasStepHas Step(1)

precedesPrecedes(1)

usedByUsed by(1)

Other facts (23)

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.

23 facts
PredicateValueRef
Applies Conditiondist < min_distance[1]
Applies Conditiondist <= threshold[1]
Rdf:typeFunction[2]
Rdf:typeFunction[1]
Stores ResultBest Match Word[2]
Tracks MinimumSmallest Distance[2]
Iterates DictionaryAll Dictionary Words[2]
Applies Threshold FilterThreshold Value[2]
EmploysString Matching Technique[2]
Initializes Closest WordNull Value[2]
Initializes Min DistanceInfinity Value[2]
Defines ThresholdSimilarity Threshold[2]
Contains ConditionalDistance Less Than Min[2]
ComparesDistance Vs Threshold[2]
CalculatesLevenshtein Distance[2]
UsesLevenshtein Distance[2]
Rdfs:labelfind_closest_match[2]
Calls FunctionDistance Function[1]
Computesdistance[1]
Loops Overdictionary[1]
Has DocstringFind the closest match in the dictionary using the specified threshold.[1]
Parameter Defaultthreshold=2[1]
Has Namefind_closest_match[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.

appliesConditionbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
dist < min_distance
appliesConditionbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
dist <= threshold
appliesThresholdFilterbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:threshold-value
assignsTobeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:closest-word-variable
assignsTobeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:min-distance-variable
calculatesbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:levenshtein-distance
callsFunctionbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:distance-function
comparesbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:distance-vs-threshold
comparesDistancebeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:min-distance-variable
comparesDistancebeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:threshold-parameter
computesbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
distance
containsConditionalbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:distance-less-than-min
definedInbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:python-example
definedInbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:script
definesThresholdbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:similarity-threshold
employsbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:string-matching-technique
hasConditionalLogicbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:combined-condition
hasConditionalLogicbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:distance-check
hasConditionalLogicbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:threshold-check
hasDocstringbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
Find the closest match in the dictionary using the specified threshold.
hasLoopbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:dictionary-loop
hasLoopbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:dictionary-loop
hasNamebeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
find_closest_match
hasParameterbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:dictionary-parameter
hasParameterbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:threshold-default
hasParameterbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:threshold-parameter
hasParameterbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:word-parameter
hasParameterbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
word
hasParameterbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
threshold
hasParameterbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
dictionary
hasReturnStatementbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:closest_word
hasReturnStatementbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:return-closest-word
initializesbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:closest-word-variable
initializesbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:closest-word-variable
initializesbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:infinity-value
initializesbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:min-distance-variable
initializesbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
min_distance
initializesbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
closest_word
initializesClosestWordbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:null-value
initializesMinDistancebeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:infinity-value
iteratesDictionarybeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:all-dictionary-words
loopsOverbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
dictionary
parameterDefaultbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
threshold=2
labelbeam/dbb91cd4-736d-4452-9b19-46651567b10b
find_closest_match
typebeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:Function
typebeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:Function
returnsbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:closest-word
returnsbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:closest-word-variable
returnsbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
closest_word
storesResultbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:best-match-word
tracksMinimumbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:smallest-distance
updatesbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
min_distance
updatesbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
closest_word
updatesVariablebeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:update-closest-word
updatesVariablebeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:update-min-distance
usesbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:levenshtein-distance
usesDistanceMetricbeam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
ex:distance-function
usesDistanceMetricbeam/dbb91cd4-736d-4452-9b19-46651567b10b
ex:levenshtein-distance

References (2)

2 references
  1. [1]beam-chunk31 facts
    customctx:claims/beam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a8d4e00d-0adb-49c2-a304-e8356b9d69a3
      Show excerpt
      model = BertForMaskedLM.from_pretrained('bert-base-uncased') def find_closest_match(word, dictionary, threshold=2): """ Find the closest match in the dictionary using the specified threshold. """ min_distance = float('inf')
  2. [2]beam-chunk27 facts
    customctx:claims/beam/dbb91cd4-736d-4452-9b19-46651567b10b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dbb91cd4-736d-4452-9b19-46651567b10b
      Show excerpt
      Here's an example of how you can implement these best practices in Python: #### 1. Use Efficient Data Structures ```python class TrieNode: def __init__(self): self.children = {} self.is_end_of_word = False class Trie:

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