Data Validation Logic
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Data Validation Logic has 4 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
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.
implementsImplements(1)
- Is Valid Function
ex:is-valid-function
purposePurpose(1)
- Is Valid
ex:is-valid
Other facts (4)
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 | Security Mechanism | [2] |
| Rdf:type | Validation Component | [3] |
| Implements | Type Based Processing | [1] |
| Implemented As | Validate Data | [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/0698efce-092d-4bc0-95dc-f5e44d2a3e37- full textbeam-chunktext/plain1 KB
doc:beam/0698efce-092d-4bc0-95dc-f5e44d2a3e37Show excerpt
if 'max_value' in constraints: data_model[field] = data_model[field].apply(lambda x: min(x, constraints['max_value'])) elif data_type == 'str': …
ctx:claims/beam/73db6035-02e5-47c3-8506-076dd04c43efctx:claims/beam/82939e9d-ffba-4ea6-bbc2-8db479a8c5b9
See also
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