document schema
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
document schema has 9 facts recorded in Dontopedia across 3 references, with 2 live disagreements.
Mostly:rdf:type(3), requires field(3), must be met(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.
affectsAffects(1)
- Metadata Configuration
ex:metadata-configuration
enforcesSchemaEnforces Schema(1)
- Validate Document Function
ex:validate-document-function
Other facts (8)
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 | Data Schema | [1] |
| Rdf:type | Data Schema | [2] |
| Rdf:type | Software Component | [3] |
| Requires Field | Title Field | [2] |
| Requires Field | Content Field | [2] |
| Requires Field | Tags Field | [2] |
| Must Be Met | true | [1] |
| Has Fields | 3 | [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 (3)
ctx:claims/beam/ae496d3b-d02d-4cdb-9c1a-0da8c23d16e7ctx:claims/beam/eaf1054a-0bcc-4602-8ee8-2242fc9a323e- full textbeam-chunktext/plain914 B
doc:beam/eaf1054a-0bcc-4602-8ee8-2242fc9a323eShow excerpt
Here is an example of how you might validate the document structure before indexing: ```python from elasticsearch import Elasticsearch # Initialize Elasticsearch client es = Elasticsearch([{'host': 'localhost', 'port': 9200}]) # Example …
ctx:claims/beam/192b0c9c-3b11-41b2-b5e0-b3fd87da2fe2
See also
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