Dontopedia

Term Field

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

Term Field has 22 facts recorded in Dontopedia across 8 references, with 3 live disagreements.

22 facts·14 predicates·8 sources·3 in dispute

Mostly:rdf:type(6), uses analyzer(2), has property(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (19)

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.

appliedToApplied to(4)

hasFieldHas Field(2)

containsContains(1)

containsFieldContains Field(1)

definesDefines(1)

fetchesSameFieldFetches Same Field(1)

fetchesSourceFetches Source(1)

has-fieldHas Field(1)

isAppliedToIs Applied to(1)

producesOutputForProduces Output for(1)

queryFieldMatchesQuery Field Matches(1)

searchesSearches(1)

searchesFieldSearches Field(1)

tokenizesTokenizes(1)

usedForUsed for(1)

Other facts (21)

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.

21 facts
PredicateValueRef
Rdf:typeField[1]
Rdf:typeDocument Field[2]
Rdf:typeField[4]
Rdf:typeElasticsearch Field[5]
Rdf:typeField[6]
Rdf:typeDocument Field[7]
Uses AnalyzerSynonym Analyzer[4]
Uses AnalyzerSynonym Analyzer[6]
Has Propertytype[4]
Has Propertyanalyzer[4]
Belongs toSynonyms Index[1]
Configured WithSynonym Analyzer[1]
Has ValueHi String[3]
Field Typetext[4]
Is Member ofProperties[4]
Has Sub Propertyanalyzer[4]
Supportsfull.text.search[4]
Valuehi[6]
Has Typetext[6]
Has Value'hello'[8]
Is Searched inSearch Operation[8]

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/264f45f8-be5a-49f1-a38c-03006413dce1
ex:Field
belongsTobeam/264f45f8-be5a-49f1-a38c-03006413dce1
ex:synonyms-index
configuredWithbeam/264f45f8-be5a-49f1-a38c-03006413dce1
ex:synonym-analyzer
typebeam/06b4c25a-1508-496d-a7cb-ac62d70720b0
ex:DocumentField
has-valuebeam/eb94735f-9a64-41ea-9d4c-879f1c5736d9
ex:hi-string
fieldTypebeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
text
usesAnalyzerbeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
ex:synonym-analyzer
typebeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
ex:Field
labelbeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
Term Field
isMemberOfbeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
ex:properties
hasSubPropertybeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
analyzer
hasPropertybeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
type
hasPropertybeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
analyzer
supportsbeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
full.text.search
typebeam/672cf015-446d-49a6-b5ee-7906dd435167
ex:ElasticsearchField
typebeam/32482dcb-f293-412a-8ea0-a9dfc518165e
ex:Field
valuebeam/32482dcb-f293-412a-8ea0-a9dfc518165e
hi
hasTypebeam/32482dcb-f293-412a-8ea0-a9dfc518165e
text
usesAnalyzerbeam/32482dcb-f293-412a-8ea0-a9dfc518165e
ex:synonym_analyzer
typebeam/39eb9369-61a1-4f63-85f9-7d1492c91bb8
ex:DocumentField
hasValuebeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
'hello'
isSearchedInbeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:search-operation

References (8)

8 references
  1. ctx:claims/beam/264f45f8-be5a-49f1-a38c-03006413dce1
  2. ctx:claims/beam/06b4c25a-1508-496d-a7cb-ac62d70720b0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/06b4c25a-1508-496d-a7cb-ac62d70720b0
      Show excerpt
      'index.refresh_interval': '30s', 'number_of_shards': 1, 'number_of_replicas': 0, 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom',
  3. ctx:claims/beam/eb94735f-9a64-41ea-9d4c-879f1c5736d9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/eb94735f-9a64-41ea-9d4c-879f1c5736d9
      Show excerpt
      response = es.search(index='synonyms', body={'query': {'match': {'term': 'hi'}}}) print(response['hits']['total']['value']) # Output: 1 ``` Can you help me optimize this configuration to achieve better search performance? ->-> 2,15 [Turn
  4. ctx:claims/beam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
      Show excerpt
      'term': {'type': 'text', 'analyzer': 'synonym_analyzer'} } }, 'settings': { 'index.refresh_interval': '30s', # Increase refresh interval 'number_of_shards': 1, # Adjust based on data size
  5. ctx:claims/beam/672cf015-446d-49a6-b5ee-7906dd435167
    • full textbeam-chunk
      text/plain976 Bdoc:beam/672cf015-446d-49a6-b5ee-7906dd435167
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      'settings': { 'index.refresh_interval': '30s', 'number_of_shards': 1, 'number_of_replicas': 0, 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'cu
  6. ctx:claims/beam/32482dcb-f293-412a-8ea0-a9dfc518165e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/32482dcb-f293-412a-8ea0-a9dfc518165e
      Show excerpt
      'track_total_hits': True # Enable total hits tracking }) print(response['hits']['total']['value']) # Output: 1 ``` #### 4. Hardware and Resource Allocation - **Ensure Sufficient Resources**: Allocate enough CPU, memory, and disk spa
  7. ctx:claims/beam/39eb9369-61a1-4f63-85f9-7d1492c91bb8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/39eb9369-61a1-4f63-85f9-7d1492c91bb8
      Show excerpt
      'index.refresh_interval': '30s', # Increase refresh interval to reduce overhead 'number_of_shards': 1, # Adjust based on data size and cluster capacity 'number_of_replicas': 0, # Adjust based on cluster capacity
  8. ctx:claims/beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
      Show excerpt
      'settings': { 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', 'tokenizer': 'standard', 'filter': ['synonym_filter']

See also

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