synonyms
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
synonyms has 31 facts recorded in Dontopedia across 12 references, with 4 live disagreements.
31 facts·17 predicates·12 sources·4 in dispute
Mostly:rdf:type(8), created by(2), created with(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (24)
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.
targetsIndexTargets Index(5)
- Indexing Operation
ex:indexing-operation - Indexing Operation
ex:indexing-operation - Index Operation
ex:index-operation - Search Operation
ex:search-operation - Search Operation
ex:search-operation
partOfPart of(4)
- Analysis Configuration
ex:analysis-configuration - Mappings Structure
ex:mappings-structure - Synonym Mapping
ex:synonym-mapping - Term Property
ex:term-property
createsCreates(2)
- Es.indices.create
ex:es.indices.create - Index Creation Code
ex:index-creation-code
createsIndexCreates Index(2)
- Elasticsearch Object
ex:elasticsearch-object - Python Code Example
ex:python-code-example
isIndexedInIs Indexed in(2)
- Document 1
ex:document-1 - Sample Document
ex:sample-document
belongsToBelongs to(1)
- Term Field
ex:term-field
indexedIntoIndexed Into(1)
- Sample Document
ex:sample-document
indexesToIndexes to(1)
- Es Instance
ex:es-instance
isExecutedOnIs Executed on(1)
- Search Query
ex:search-query
isSettingForIs Setting for(1)
- Index Settings
ex:index-settings
producesProduces(1)
- Index Creation
ex:index-creation
targetTarget(1)
- Index Creation
ex:index-creation
targetsTargets(1)
- Elasticsearch Search Query
ex:elasticsearch-search-query
usedByUsed by(1)
- Index Name
ex:index-name
Other facts (27)
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.
27 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Elasticsearch Index | [1] |
| Rdf:type | Elasticsearch Index | [3] |
| Rdf:type | Elasticsearch Index | [4] |
| Rdf:type | Elasticsearch Index | [5] |
| Rdf:type | Index | [7] |
| Rdf:type | Elasticsearch Index | [9] |
| Rdf:type | Elasticsearch Index | [10] |
| Rdf:type | Elasticsearch Index | [12] |
| Created by | Index Creation Code | [1] |
| Created by | Python Code Example | [9] |
| Created With | Ignore Parameter | [6] |
| Created With | es.indices.create | [7] |
| Has Property | Term Property | [8] |
| Has Property | Term Property | [9] |
| Has Field | Term Field | [1] |
| Purpose | synonym-indexing | [1] |
| Named for | synonym-indexing | [1] |
| Targeted by | Elasticsearch Search Query | [2] |
| Used in | Search Example | [5] |
| Is Index Name | synonyms | [6] |
| Has Ignore Code | 400 | [6] |
| Has Mappings | Mappings Structure | [6] |
| Has Settings | Settings Structure | [6] |
| Created With Body | Index Body | [6] |
| Contains Property | Term Property | [8] |
| Has Name | synonyms | [10] |
| Contains Document | Term Document | [11] |
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:ElasticsearchIndex
—
hasFieldbeam/264f45f8-be5a-49f1-a38c-03006413dce1
ex:term-field
—
createdBybeam/264f45f8-be5a-49f1-a38c-03006413dce1
ex:index-creation-code
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purposebeam/264f45f8-be5a-49f1-a38c-03006413dce1
synonym-indexing
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namedForbeam/264f45f8-be5a-49f1-a38c-03006413dce1
synonym-indexing
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targeted_bybeam/eb94735f-9a64-41ea-9d4c-879f1c5736d9
ex:elasticsearch-search-query
—
typebeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
ex:ElasticsearchIndex
—
labelbeam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070
Synonyms Index
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typebeam/672cf015-446d-49a6-b5ee-7906dd435167
ex:ElasticsearchIndex
—
labelbeam/672cf015-446d-49a6-b5ee-7906dd435167
Synonyms Index
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typebeam/32482dcb-f293-412a-8ea0-a9dfc518165e
ex:ElasticsearchIndex
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usedInbeam/32482dcb-f293-412a-8ea0-a9dfc518165e
ex:search-example
—
isIndexNamebeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
synonyms
—
hasIgnoreCodebeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
400
—
hasMappingsbeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
ex:mappings-structure
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hasSettingsbeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
ex:settings-structure
—
createdWithbeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
ex:ignore-parameter
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createdWithBodybeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
ex:index-body
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typebeam/009c923b-307a-4fea-925e-20fa07694470
ex:Index
—
labelbeam/009c923b-307a-4fea-925e-20fa07694470
synonyms
—
createdWithbeam/009c923b-307a-4fea-925e-20fa07694470
es.indices.create
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containsPropertybeam/47015f45-67b2-4323-9e0f-8048812ddd15
ex:term-property
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hasPropertybeam/47015f45-67b2-4323-9e0f-8048812ddd15
ex:term-property
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hasPropertybeam/35f6cc41-2be5-463a-be9c-95e4900404b7
ex:term-property
—
typebeam/35f6cc41-2be5-463a-be9c-95e4900404b7
ex:elasticsearch-index
—
createdBybeam/35f6cc41-2be5-463a-be9c-95e4900404b7
ex:python-code-example
—
typebeam/39eb9369-61a1-4f63-85f9-7d1492c91bb8
ex:ElasticsearchIndex
—
hasNamebeam/39eb9369-61a1-4f63-85f9-7d1492c91bb8
synonyms
—
containsDocumentbeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:term-document
—
typebeam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
ex:ElasticsearchIndex
—
labelbeam/254ab7fb-a202-4309-9ebc-dfb2af81e28e
synonyms
References (12)
12 references
ctx:claims/beam/264f45f8-be5a-49f1-a38c-03006413dce1ctx:claims/beam/eb94735f-9a64-41ea-9d4c-879f1c5736d9- full textbeam-chunktext/plain1 KB
doc:beam/eb94735f-9a64-41ea-9d4c-879f1c5736d9Show 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 …
ctx:claims/beam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070- full textbeam-chunktext/plain1 KB
doc:beam/d9d22ca9-6e0e-42b7-a8da-b2d9033ab070Show excerpt
'term': {'type': 'text', 'analyzer': 'synonym_analyzer'} } }, 'settings': { 'index.refresh_interval': '30s', # Increase refresh interval 'number_of_shards': 1, # Adjust based on data size …
ctx:claims/beam/672cf015-446d-49a6-b5ee-7906dd435167- full textbeam-chunktext/plain976 B
doc:beam/672cf015-446d-49a6-b5ee-7906dd435167Show excerpt
'settings': { 'index.refresh_interval': '30s', 'number_of_shards': 1, 'number_of_replicas': 0, 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'cu…
ctx:claims/beam/32482dcb-f293-412a-8ea0-a9dfc518165e- full textbeam-chunktext/plain1 KB
doc:beam/32482dcb-f293-412a-8ea0-a9dfc518165eShow 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…
ctx:claims/beam/3b6c342c-d063-4158-bc0a-b84634edf7e8- full textbeam-chunktext/plain1 KB
doc:beam/3b6c342c-d063-4158-bc0a-b84634edf7e8Show 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'} # …
ctx:claims/beam/009c923b-307a-4fea-925e-20fa07694470- full textbeam-chunktext/plain1 KB
doc:beam/009c923b-307a-4fea-925e-20fa07694470Show excerpt
- The `add_synonym` method adds a synonym to the dictionary, associating it with a specific term and context. 3. **Retrieving Synonyms**: - The `get_synonyms` method retrieves the synonyms for a given term and context. 4. **Rewritin…
ctx:claims/beam/47015f45-67b2-4323-9e0f-8048812ddd15- full textbeam-chunktext/plain1 KB
doc:beam/47015f45-67b2-4323-9e0f-8048812ddd15Show excerpt
rewritten_query = rewrite_query(query, context) print(rewritten_query) # Output: {'term': 'hi'} ``` ### Conclusion By using `defaultdict` to handle multiple synonyms, ensuring thread safety with a lock, and leveraging efficient dictionar…
ctx:claims/beam/35f6cc41-2be5-463a-be9c-95e4900404b7- full textbeam-chunktext/plain1 KB
doc:beam/35f6cc41-2be5-463a-be9c-95e4900404b7Show excerpt
First, ensure that your Elasticsearch index is correctly configured with the synonym analyzer and filter. Your current configuration looks mostly correct, but there are a few improvements and checks we can make. ### 2. Use `synonyms_path` …
ctx:claims/beam/39eb9369-61a1-4f63-85f9-7d1492c91bb8- full textbeam-chunktext/plain1 KB
doc:beam/39eb9369-61a1-4f63-85f9-7d1492c91bb8Show 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 …
ctx:claims/beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0- full textbeam-chunktext/plain1 KB
doc:beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0Show excerpt
'settings': { 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', 'tokenizer': 'standard', 'filter': ['synonym_filter'] …
ctx:claims/beam/254ab7fb-a202-4309-9ebc-dfb2af81e28e- full textbeam-chunktext/plain1 KB
doc:beam/254ab7fb-a202-4309-9ebc-dfb2af81e28eShow excerpt
### 5. Iterative Improvement Based on the results from benchmarking, profiling, and monitoring, iteratively improve your configuration. #### Steps: 1. **Identify Bottlenecks**: - Use the profiling and monitoring data to identify speci…
See also
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