Explains null semantics and three-valued logic
https://knobit.org/id/knobit/K-655
Also as Turtle · JSON-LD · RDF/XML · AI benchmark on Skilirium
| Context functions | Object understanding |
|---|---|
| Knobit creation methods | AI generated |
| Knobit creation methods | AI generated, AI edited |
| Knobit types | Knowledge |
| LCG purposes | Assessing the learner's knowledge or skill state |
| LCG purposes | Opening up a learning outcome |
| action verb | Explains en |
| assessment criterion | Predicts how sample predicates treat nulls en |
| assessment method | Written question with sample physical tables en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | K-655 |
| dcterms:identifier | Q-393 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Data-management practice used by the stage 6 reference and review checklist en |
| dcterms:source | Shared-URI copy of data-modelling K-655 (Data-management practice used by the stage 6 reference and review checklist) en |
| depends on knobit | Explains the concepts of a proposition and its truth value |
| depends on knobit | Explains the meaning of negation, conjunction and disjunction |
| expected result | What a null means, and how predicates evaluate to UNKNOWN en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/06-physical/K-655 |
| rdfs:label | Explains null semantics and three-valued logic en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data modelling (DAMA-DMBOK2) |
| schema:isPartOf | Data quality management (DAMA-DMBOK2) |
| skos:definition | What a null means, and how predicates evaluate to UNKNOWN. en |
| skos:prefLabel | Explains null semantics and three-valued logic en |
| target object | null semantics en |
Used by
| applies knowledge | Recognises a sentinel value standing in for null |
|---|---|
| applies knowledge | Recognises a null with a business meaning |
| applies knowledge | Recognises a default inventing a business fact |
| applies knowledge | Recognises nulls left to chance in a check predicate |
| applies knowledge | Recognises a null counted as missing where the element does not apply |
| includes knobit | Designs a physical data model for the target platform without introducing anomalies |
| includes knobit | Derives data quality rules from the data rules and the physical model |
| includes knobit | Profiles and assesses critical data elements over stated populations |
| requires knobit | Design the physical data model |
| requires knobit | Derive data quality rules |
| requires knobit | Profile and assess data quality |