match clause

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

match clause has 27 facts recorded in Dontopedia across 7 references, with 5 live disagreements.

27 facts·16 predicates·7 sources·5 in dispute

Mostly:rdf:type(6), targets(2), searches for(2)

Inbound mentions (10)

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.

`contains`Contains(4)

Query Clauseex:query-clause
Query Fieldex:query-field
Query Objectex:query-object
Search Queryex:search-query

`hasMustClause`Has Must Clause(2)

Bool Queryex:bool-query
Bool Queryex:bool-query

`containsElement`Contains Element(1)

Must Arrayex:must-array

`isSearchedBy`Is Searched by(1)

Content Fieldex:content-field

`referencedBy`Referenced by(1)

Text Fieldex:text-field

`usedIn`Used in(1)

Query Parameterex:query-parameter

Other facts (24)

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.

24 facts

Predicate	Value	Ref
Rdf:type	Match Query	[1]
Rdf:type	Query Clause	[2]
Rdf:type	Query Clause	[3]
Rdf:type	Query Clause	[4]
Rdf:type	Match Query	[5]
Rdf:type	Match Clause	[6]
Targets	Text Field	[4]
Targets	Term Property	[7]
Searches for	example	[4]
Searches for	test	[5]
Matches Field	Content Field	[5]
Matches Field	content	[6]
Targets Field	content	[1]
Uses Value	query	[1]
Ex:targets Field	Content Field	[2]
Ex:searches for	example	[2]
References	Text Field	[3]
Search Term	test	[5]
Matches Value	test	[6]
Searches in Field	Analyzer Field Content	[6]
Part of	Must Array	[6]
Searches Field	Content Field	[6]
Searches Value	test	[6]
Applied to Field	Content Field	[6]

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.

27 undated

—

typebeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

ex:MatchQuery

—

targetsFieldbeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

content

—

usesValuebeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

query

—

typebeam/64efbb4a-7263-471a-b61a-3921d09afc52

ex:QueryClause

—

labelbeam/64efbb4a-7263-471a-b61a-3921d09afc52

match clause

—

targetsFieldbeam/64efbb4a-7263-471a-b61a-3921d09afc52

ex:content-field

—

searchesForbeam/64efbb4a-7263-471a-b61a-3921d09afc52

example

—

typebeam/a3ee002f-ebab-4b84-9a7a-33173fec4dfd

ex:QueryClause

—

referencesbeam/a3ee002f-ebab-4b84-9a7a-33173fec4dfd

ex:text-field

—

targetsbeam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6

ex:text-field

—

searchesForbeam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6

example

—

typebeam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6

ex:QueryClause

—

typebeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb

ex:MatchQuery

—

labelbeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb

Match Query Clause

—

matchesFieldbeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb

ex:content-field

—

searchTermbeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb

test

—

searchesForbeam/01eaccfb-7615-4204-98ea-bc544cdc2fbb

test

—

matchesFieldbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

content

—

matchesValuebeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

test

—

typebeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

ex:MatchClause

—

labelbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

match clause

—

searchesInFieldbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

ex:analyzer-field-content

—

partOfbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

ex:must-array

—

searchesFieldbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

ex:content-field

—

searchesValuebeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

test

—

appliedToFieldbeam/c6323fc0-a08f-4ae2-9fa7-873afeec348d

ex:content-field

—

targetsbeam/3b6c342c-d063-4158-bc0a-b84634edf7e8

ex:term-property

References (7)

7 references

[1]Fa7a8f4a C930 4a03 86e1 6781a85b10f13 facts
ctx:claims/beam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1
- full textbeam-chunk
  text/plain876 Bdoc:beam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1
  Show excerpt
  Here's an example of how you might perform real-time analytics using Elasticsearch: ```python from elasticsearch import Elasticsearch es = Elasticsearch() def search_with_aggregation(es, index_name, query): # Create a new search quer…
[2]64efbb4a 7263 471a B61a 3921d09afc524 facts
ctx:claims/beam/64efbb4a-7263-471a-b61a-3921d09afc52
[3]A3ee002f Ebab 4b84 9a7a 33173fec4dfd2 facts
ctx:claims/beam/a3ee002f-ebab-4b84-9a7a-33173fec4dfd
- full textbeam-chunk
  text/plain1 KBdoc:beam/a3ee002f-ebab-4b84-9a7a-33173fec4dfd
  Show excerpt
  By enabling and configuring query caching in Elasticsearch, you can significantly improve the performance of frequently executed queries. Ensure that your queries are cacheable by setting appropriate parameters, and regularly monitor the ca…
[4]5f26f8c5 Dfd9 40e7 A81f F613a88eead63 facts
ctx:claims/beam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
- full textbeam-chunk
  text/plain1 KBdoc:beam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
  Show excerpt
  } }) # Bulk index some data documents = [ {'_index': index_name, '_source': {'text': 'This is some example text'}}, {'_index': index_name, '_source': {'text': 'Another example text'}}, {'_index': index_name, '_source': {'te…
[5]01eaccfb 7615 4204 98ea Bc544cdc2fbb5 facts
ctx:claims/beam/01eaccfb-7615-4204-98ea-bc544cdc2fbb
- full textbeam-chunk
  text/plain1 KBdoc:beam/01eaccfb-7615-4204-98ea-bc544cdc2fbb
  Show excerpt
  - Use `refresh_interval` setting in the index settings. ### Example Configuration Here's an example of how you might configure your Elasticsearch index and queries for better performance: ```python from elasticsearch import Elasticsear…
[6]C6323fc0 A08f 4ae2 9fa7 873afeec348d9 facts
ctx:claims/beam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
- full textbeam-chunk
  text/plain1 KBdoc:beam/c6323fc0-a08f-4ae2-9fa7-873afeec348d
  Show excerpt
  "number_of_shards": 5, "number_of_replicas": 1, "refresh_interval": "30s" } mappings = { "properties": { "title": {"type": "text"}, "content": {"type": "text", "analyzer": "standard"} } } # Create an in…
[7]3b6c342c D063 4158 Bc0a B84634edf7e81 fact
ctx:claims/beam/3b6c342c-d063-4158-bc0a-b84634edf7e8
- full textbeam-chunk
  text/plain1 KBdoc:beam/3b6c342c-d063-4158-bc0a-b84634edf7e8
  Show excerpt
  # Rewrite the query using the first synonym query['term'] = synonyms[0] return query # Example usage: query = {'term': 'hello'} rewritten_query = rewrite_query(query) print(rewritten_query) # Output: {'term': 'hi'} # …

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match clause

Inbound mentions (10)

containsContains(4)

hasMustClauseHas Must Clause(2)

containsElementContains Element(1)

isSearchedByIs Searched by(1)

referencedByReferenced by(1)

usedInUsed in(1)

Other facts (24)

Timeline

References (7)

See also

Keep researching

`contains`Contains(4)

`hasMustClause`Has Must Clause(2)

`containsElement`Contains Element(1)

`isSearchedBy`Is Searched by(1)

`referencedBy`Referenced by(1)

`usedIn`Used in(1)