Dontopedia

match

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

match has 12 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

12 facts·7 predicates·3 sources·2 in dispute

Mostly:rdf:type(4), has field(1), applied to(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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.

isTargetOfIs Target of(1)

rdf:typeRdf:type(1)

storesStores(1)

usedInUsed in(1)

Other facts (10)

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.

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/d4ff2cab-905c-43cd-b936-1370e48ce8de
ex:QueryOperation
labelbeam/d4ff2cab-905c-43cd-b936-1370e48ce8de
match
hasFieldbeam/d4ff2cab-905c-43cd-b936-1370e48ce8de
ex:content-field
appliedTobeam/d4ff2cab-905c-43cd-b936-1370e48ce8de
ex:content-field
typebeam/d4ff2cab-905c-43cd-b936-1370e48ce8de
ex:TextMatching
operatorTypebeam/d4ff2cab-905c-43cd-b936-1370e48ce8de
ex:text-match
typebeam/b7c3a75f-2454-4270-9e06-beac669c1ce3
ex:QueryOperation
labelbeam/b7c3a75f-2454-4270-9e06-beac669c1ce3
match operation
searchesForbeam/b7c3a75f-2454-4270-9e06-beac669c1ce3
ex:example-term
performsbeam/b7c3a75f-2454-4270-9e06-beac669c1ce3
ex:field-targeting
targetsbeam/aa945c3d-7515-4683-8a1c-ba06089b9a9e
ex:reformulated_query-field
typebeam/aa945c3d-7515-4683-8a1c-ba06089b9a9e
ex:SearchOperation

References (3)

3 references
  1. ctx:claims/beam/d4ff2cab-905c-43cd-b936-1370e48ce8de
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d4ff2cab-905c-43cd-b936-1370e48ce8de
      Show excerpt
      - **Network**: Ensure low-latency network connectivity between nodes. ### Conclusion By carefully configuring your Elasticsearch cluster and indexes, you can achieve high performance and availability. The provided example and recommendati
  2. ctx:claims/beam/b7c3a75f-2454-4270-9e06-beac669c1ce3
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b7c3a75f-2454-4270-9e06-beac669c1ce3
      Show excerpt
      PUT /_cluster/settings { "persistent": { "indices.queries.cache.enabled": true, "indices.queries.cache.size": "10%" } } ``` ### Step 3: Use Query Caching in Queries When executing queries, you can explicitly enable caching by
  3. ctx:claims/beam/aa945c3d-7515-4683-8a1c-ba06089b9a9e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/aa945c3d-7515-4683-8a1c-ba06089b9a9e
      Show excerpt
      ("Book a flight to New York", "Reserve a ticket to New York City"), ("How do I get to the airport?", "Provide directions to the airport") ] for original_query, reformulated_query in test_queries: index_reformulated_query(origin

See also

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