Value Validation
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Value Validation has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), checks for(1), prevents(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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.
validatesInputValidates Input(1)
- Kpi Class
ex:KPI-class
Other facts (5)
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 | Validation Mechanism | [1] |
| Rdf:type | Data Integrity Check | [2] |
| Checks for | Negative Values | [1] |
| Prevents | Invalid Calculation | [1] |
| Verifies | Value Expectations | [2] |
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 (2)
ctx:claims/beam/521f8218-a478-42f5-91cf-31f08dcfb965- full textbeam-chunktext/plain1 KB
doc:beam/521f8218-a478-42f5-91cf-31f08dcfb965Show excerpt
kpi = KPI("Metric 1", 10) self.assertEqual(kpi.calculate(), 10) def test_negative_value(self): kpi = KPI("Metric 2", -5) with self.assertRaises(ValueError): kpi.calculate() if __name__ == '_…
ctx:claims/beam/8bf9ec46-2c0a-4990-b74d-e0b079d65b51- full textbeam-chunktext/plain1 KB
doc:beam/8bf9ec46-2c0a-4990-b74d-e0b079d65b51Show excerpt
- Use `pd.read_csv` to load the documents into a `DataFrame`. 2. **Debugging Logic**: - Use boolean indexing to update the `'error'` column. This method is more efficient and works in place. 3. **Returning the Updated DataFrame**: …
See also
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