Dontopedia

Trie

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

Trie has 70 facts recorded in Dontopedia across 7 references, with 5 live disagreements.

70 facts·44 predicates·7 sources·5 in dispute

Mostly:rdf:type(10), has method(9), has attribute(3)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (16)

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.

isComponentOfIs Component of(2)

traversesTraverses(2)

definesDefines(1)

ex:dependencyEx:dependency(1)

ex:hasParentEx:has Parent(1)

ex:relationshipToEx:relationship to(1)

ex:typeEx:type(1)

ex:usesDataStructureEx:uses Data Structure(1)

isInstanceIs Instance(1)

isInstanceofIs Instanceof(1)

isNodeInIs Node in(1)

rdf:typeRdf:type(1)

usesUses(1)

usesDataStructureUses Data Structure(1)

Other facts (57)

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.

57 facts
PredicateValueRef
Has MethodInsert[2]
Has MethodSearch[2]
Has MethodInsert[3]
Has MethodTrie. Init[5]
Has MethodTrie.insert[5]
Has MethodTrie.search[5]
Has MethodInit[7]
Has MethodInsert[7]
Has MethodSearch[7]
Has AttributeRoot[2]
Has Attributeroot[5]
Has AttributeRoot[7]
Used forEfficient String Search[4]
Used forDictionary Lookups[6]
Used forFaster Lookups[6]
Providesfast_insertion[3]
Providesfast_search[3]
Has ComponentTrie Node[5]
Has ComponentTrie Node[7]
Purposespelling_correction[3]
Ex:purposeWord Storage and Retrieval[2]
Ex:relationship toSpelling Correction[2]
Ex:used bySpelling Correction[2]
Ex:constructor CallTrie()[2]
Ex:has ChildTrie Node[2]
Used bySpelling Correction[3]
Ex:data StructurePrefix Tree[2]
Ex:root NodeTrie Node[2]
Ex:method OrderInsert Then Search[2]
Hierarchical Data Structuretrue[5]
Tree Structuretrue[5]
Prefix Treetrue[5]
ImplementsDictionary Interface[5]
Insertion TimeStartup Phase[6]
Insert Method ParameterWord[7]
Search Method ParameterWord[7]
Root Initializes toTrie Node[7]
Insert MethodTrie Insert[7]
Search MethodTrie Search[7]
Insert Creates Node If Not ExistsTrie Node[7]
Search Returns False When Char Missingfalse[7]
Insert Sets End of Word Flagtrue[7]
Search Returns End of Word Flagnode.is_end_of_word[7]
Insert Iterates Over CharactersWord[7]
Search Iterates Over CharactersWord[7]
Insert Updates Node ReferenceNode[7]
Search Updates Node ReferenceNode[7]
Insert Method Ends atNode.is End of Word = True[7]
Search Method Ends atReturn Node.is End of Word[7]
Data Structure TypePrefix Tree[7]
Insert AlgorithmCharacter by Character Traversal[7]
Search AlgorithmCharacter by Character Traversal[7]
Has Root NodeRoot Node[7]
Insert Handles Missing CharacterCreates New Node[7]
Search Handles Missing CharacterReturns False[7]
Supports Word InsertionTrue[7]
Supports Word SearchTrue[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.

typebeam/9d952276-6679-4776-8100-ada830f2805d
ex:DataStructure
labelbeam/9d952276-6679-4776-8100-ada830f2805d
Trie
typebeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:Class
hasAttributebeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:root
hasMethodbeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:insert
typebeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
ex:Class
providesbeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
fast_insertion
hasMethodbeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:search
providesbeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
fast_search
purposebeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
spelling_correction
purposebeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:word_storage_and_retrieval
typebeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
ex:PythonClass
relationshipTobeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:SpellingCorrection
usedBybeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:SpellingCorrection
constructorCallbeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:Trie()
hasChildbeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:TrieNode
usedBybeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
ex:SpellingCorrection
typebeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
ex:PythonClassDefinition
dataStructurebeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:prefix_tree
rootNodebeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:TrieNode
methodOrderbeam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
ex:insert_then_search
hasMethodbeam/74dd2c6d-f1bc-4614-826b-7fc78768139c
ex:insert
typebeam/f05bdfec-f74c-4a81-91da-f88d561731be
ex:DataStructure
usedForbeam/f05bdfec-f74c-4a81-91da-f88d561731be
ex:efficient-string-search
typebeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
ex:Class
labelbeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
Trie
hasAttributebeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
root
hasMethodbeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
ex:Trie.__init__
hasMethodbeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
ex:Trie.insert
hasMethodbeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
ex:Trie.search
hasComponentbeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
ex:TrieNode
hierarchicalDataStructurebeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
true
treeStructurebeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
true
prefixTreebeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
true
implementsbeam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
ex:DictionaryInterface
typebeam/536e0ef8-307c-4b5b-a812-14bd31b728c2
ex:Data_structure
usedForbeam/536e0ef8-307c-4b5b-a812-14bd31b728c2
ex:dictionary_lookups
usedForbeam/536e0ef8-307c-4b5b-a812-14bd31b728c2
ex:faster_lookups
insertionTimebeam/536e0ef8-307c-4b5b-a812-14bd31b728c2
ex:startup_phase
hasMethodbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:__init__
hasMethodbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:insert
hasMethodbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:search
hasAttributebeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:root
insertMethodParameterbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:word
searchMethodParameterbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:word
rootInitializesTobeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:TrieNode
insertMethodbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:trie-insert
searchMethodbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:trie-search
typebeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:Class
hasComponentbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:TrieNode
insertCreatesNodeIfNotExistsbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:TrieNode
searchReturnsFalseWhenCharMissingbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
false
insertSetsEndOfWordFlagbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
true
searchReturnsEndOfWordFlagbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
node.is_end_of_word
typebeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:DataStructure
labelbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
Trie
insertIteratesOverCharactersbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:word
searchIteratesOverCharactersbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:word
insertUpdatesNodeReferencebeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:node
searchUpdatesNodeReferencebeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:node
insertMethodEndsAtbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:node.is_end_of_word = True
searchMethodEndsAtbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:return node.is_end_of_word
dataStructureTypebeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:prefix-tree
insertAlgorithmbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:character-by-character-traversal
searchAlgorithmbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:character-by-character-traversal
hasRootNodebeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:root-node
insertHandlesMissingCharacterbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:creates-new-node
searchHandlesMissingCharacterbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:returns-false
supports-word-insertionbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:true
supports-word-searchbeam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
ex:true

References (7)

7 references
  1. ctx:claims/beam/9d952276-6679-4776-8100-ada830f2805d
  2. ctx:claims/beam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2
      Show excerpt
      self.correction = None class Trie: def __init__(self): self.root = TrieNode() def insert(self, word, correction): node = self.root for char in word: if char not in node.children:
  3. ctx:claims/beam/74dd2c6d-f1bc-4614-826b-7fc78768139c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/74dd2c6d-f1bc-4614-826b-7fc78768139c
      Show excerpt
      correction = self.trie.search(words[i]) if correction: # replace the word with its correction words[i] = correction # join the corrected words back into a query string
  4. ctx:claims/beam/f05bdfec-f74c-4a81-91da-f88d561731be
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f05bdfec-f74c-4a81-91da-f88d561731be
      Show excerpt
      1. **Use Multithreading or Multiprocessing**: - Parallelize the correction process to handle multiple words simultaneously. - This can be particularly effective if you are processing a large number of corrections in parallel. ### 4.
  5. ctx:claims/beam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
    • full textbeam-chunk
      text/plain1 KBdoc:beam/aeec430d-7411-49b3-93d9-b07e3c19c4b3
      Show excerpt
      #### 1. Use a Trie for Dictionary Lookups ```python class TrieNode: def __init__(self): self.children = {} self.is_end_of_word = False class Trie: def __init__(self): self.root = TrieNode() def insert(
  6. ctx:claims/beam/536e0ef8-307c-4b5b-a812-14bd31b728c2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/536e0ef8-307c-4b5b-a812-14bd31b728c2
      Show excerpt
      min_distance = dist closest_word = dict_word return closest_word def spell_correction(input_text, dictionary): words_list = input_text.split() corrected_words = [] for word in words_list: if
  7. ctx:claims/beam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a
      Show excerpt
      from functools import lru_cache from Levenshtein import distance from transformers import BertTokenizer, BertForMaskedLM import torch from concurrent.futures import ThreadPoolExecutor class TrieNode: def __init__(self): self.ch

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