Recognises an insertion anomaly in a logical data model
https://knobit.org/id/knobit/K-501
Also as Turtle · JSON-LD · RDF/XML · AI benchmark on Skilirium
| 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 the insertion, update and deletion anomalies |
| assessment criterion | Flags the deficient case and passes the acceptable one. Deficient: Branch name held only on Account, so a newly opened branch cannot be recorded until an account is serviced there Acceptable: Branch as a reference entity keyed by Branch Identifier; Account carries only the identifier (cause: row 9) 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-501 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Review checklist 03-logical, row 1; Codd 1971; Fagin 1981; E&N 14.1.2; C&B en |
| expected result | The fact that cannot be recorded and the unrelated fact it would need en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/05-logical/01 |
| rdfs:label | Recognises an insertion anomaly in a logical data model en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data modelling (DAMA-DMBOK2) |
| skos:altLabel | Insertion anomaly (logical model) en |
| skos:definition | A fact cannot be recorded without also recording another fact it does not depend on, because it has no entity of its own. en |
| skos:prefLabel | Recognises an insertion anomaly in a logical data model en |
| target object | insertion anomaly in a logical data model en |
Used by
| includes knobit | Derives a normalised logical data model and traces anomalies to their causes |
|---|---|
| requires knobit | Derive the logical data model |