Recognises independent multi-valued facts in one entity
https://knobit.org/id/knobit/K-512
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| Context functions | Result evaluation |
|---|---|
| Knobit creation methods | AI generated, human edited |
| Knobit types | Skill |
| LCG purposes | Assessing the learner's knowledge or skill state |
| LCG purposes | Selecting an assessment task or learning activity |
| action verb | Recognises en |
| applies knowledge | Explains multivalued dependency and fourth normal form |
| assessment criterion | Flags the deficient case and passes the acceptable one. Deficient: Branch Capability (Branch, Product, Language), where the products a branch may sell and the languages its staff serve in are unrelated Acceptable: Branch Product Authorisation (Branch, Product) and Branch Service Language (Branch, Language) en |
| assessment method | skill-tests task: Loan application logical model (normalisation anomaly skills) en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | K-512 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Review checklist 03-logical, row 12; Fagin 1977; Kent 1983; S&W 13.4 en |
| expected result | The two independent lists and the entity that combines them en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/05-logical/12 |
| rdfs:label | Recognises independent multi-valued facts in one entity en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data modelling (DAMA-DMBOK2) |
| skos:altLabel | Independent multi-valued facts in one entity (4NF) (logical model) en |
| skos:definition | One entity records two or more independent lists about the same thing, so each new item in one list needs a row for every item in the other. en |
| skos:prefLabel | Recognises independent multi-valued facts in one entity en |
| target object | independent multi-valued facts in one entity en |
Used by
| includes knobit | Derives a normalised logical data model and traces anomalies to their causes |
|---|---|
| requires knobit | Derive the logical data model |