Terms Aggregation
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Terms Aggregation has 7 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), is bucket aggregation(1), grouped by(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
hasAggregationComponentHas Aggregation Component(1)
- Advanced Query
ex:advanced-query
hasPartHas Part(1)
- Group by Status Agg
ex:group_by_status_agg
Other facts (7)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Aggregation Type | [2] |
| Rdf:type | Buckets Aggregation | [2] |
| Rdf:type | Terms Aggregation | [3] |
| Is Bucket Aggregation | true | [1] |
| Grouped by | Author Field | [2] |
| Performs Grouping | true | [2] |
| Has Field | "status" | [3] |
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.
References (3)
ctx:claims/beam/f694598a-df7a-4886-8398-f1e30d357808- full textbeam-chunktext/plain1 KB
doc:beam/f694598a-df7a-4886-8398-f1e30d357808Show excerpt
"title": "example" } } } ``` 2. **Intermediate Query Optimization** - Provide a moderately complex query with multiple conditions. - Example: ```python query = { "query": { …
ctx:claims/beam/7bd85e51-293e-474e-97e0-39e4f7463398- full textbeam-chunktext/plain1 KB
doc:beam/7bd85e51-293e-474e-97e0-39e4f7463398Show excerpt
"bool": { "must": [ { "match": { "title": "example" } }, { "match": { "content": "example" } } ], "filter": [ { "term": { "status": "active" }} ] …
ctx:claims/beam/efb3ed65-230c-41db-a23e-f92943558c0c- full textbeam-chunktext/plain1 KB
doc:beam/efb3ed65-230c-41db-a23e-f92943558c0cShow excerpt
**Objective:** Optimize the provided queries for better performance and explain the reasoning behind each optimization step. 1. **Basic Query Optimization** - **Query:** ```python query = { "query": { "match": …
See also
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