Analyze Corpus
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Analyze Corpus has 22 facts recorded in Dontopedia across 3 references, with 4 live disagreements.
Mostly:rdf:type(2), performs operation(2), returns(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (11)
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.
callsCalls(1)
- Main Function
ex:main-function
definesFunctionDefines Function(1)
- Python Code Snippet
ex:python-code-snippet
dependsOnDepends on(1)
- Main Function
ex:main-function
ex:callsFunctionEx:calls Function(1)
- Main Function
ex:main-function
ex:computedByEx:computed by(1)
- Field Frequency
ex:field-frequency
ex:containsFunctionEx:contains Function(1)
- Code Snippet
ex:code-snippet
ex:describesImplementationEx:describes Implementation(1)
- Explanation Section
ex:explanation-section
ex:inputToEx:input to(1)
- Csv File
ex:csv-file
ex:invokesAnalysisEx:invokes Analysis(1)
- Main Function
ex:main-function
ex:referencesUndefinedFunctionEx:references Undefined Function(1)
- Code Snippet
ex:code-snippet
receivesInputFromReceives Input From(1)
- Index Mapping
ex:index-mapping
Other facts (22)
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 | Python Function | [1] |
| Rdf:type | Function | [2] |
| Performs Operation | Calculate Field Frequency | [1] |
| Performs Operation | Sort Fields by Frequency | [1] |
| Returns | Sorted Fields | [1] |
| Returns | Top Fields | [3] |
| Ex:return Type | list | [2] |
| Ex:return Type | list-of-fields | [2] |
| Has Parameter | Corpus Path | [1] |
| Function Body | Load Corpus Into Dataframe | [1] |
| Has Return Value | Sorted Fields | [1] |
| Takes Input | Corpus | [1] |
| Ex:has Parameter | corpus_path | [2] |
| Ex:reads File | Csv File | [2] |
| Ex:calculates | Field Frequency | [2] |
| Ex:sorts by | Frequency | [2] |
| Ex:uses Data Structure | Dataframe | [2] |
| Ex:defined in | Code Snippet | [2] |
| Ex:outputs | Sorted Field List | [2] |
| Provides Input for | Index Mapping Creation | [3] |
| Is Dependency of | Main Function | [3] |
| Feeds | Index Mapping | [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/19298204-c17d-4ff3-9158-f6e8c9bd1fa6- full textbeam-chunktext/plain1 KB
doc:beam/19298204-c17d-4ff3-9158-f6e8c9bd1fa6Show excerpt
3. **Adjust based on observed performance**: - Increase shards if you need to distribute data more evenly. - Increase replicas if you need to distribute read load or improve fault tolerance. 4. **Test changes incrementally** to ensure…
ctx:claims/beam/8481d5cc-fb17-4c80-9a11-b145c8881707- full textbeam-chunktext/plain1 KB
doc:beam/8481d5cc-fb17-4c80-9a11-b145c8881707Show excerpt
mapping["mappings"]["properties"][field] = {"type": "text"} # Create the index with the defined mapping es.indices.create(index=index_name, body=mapping, ignore=400) def main(): corpus_path = 'path/to/corpus.csv' …
ctx:claims/beam/0a425526-0154-4a28-b8e5-646cac480354
See also
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