Ontology / Knowledge Modelling — Learn free

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Questions 1–10 of 10

1. What is Ontology or Knowledge Modelling?
Question 1A. The practice of defining a formal, structured representation of knowledge within a domain, including concepts, relationships and rulesB. The practice of arranging concepts into a simple parent-child hierarchy onlyC. The practice of designing physical storage for documentsD. The practice of drawing workflow diagramsE. The practice of normalising relational tables
2. What is the main goal of Ontology Modelling?
Question 2A. To minimise storage costsB. To replace all relational databasesC. To speed up report renderingD. To build a framework supporting semantic clarity, interoperability and reasoningE. To classify documents by size
3. In the school example, if the ontology states that a Student is a type of Person, what can a system infer about someone who is a Student?
Question 3A. That they are also a TeacherB. That they attend an Online CourseC. That they are also a PersonD. That they teach a CourseE. Nothing further can be inferred
4. How can an ontology automatically classify a loan as delinquent?
Question 4A. By manually tagging each loanB. By checking the loan's interest rateC. By sorting loans into a taxonomyD. By formalising the rule that a Delinquent Loan is a Loan with a missed Repayment, so the system classifies loans when the condition is metE. By storing loans in a graph database
5. What kinds of relationships can elements have in a Data Taxonomy compared with a Data Ontology?
Question 5A. Taxonomy elements can have many-to-many relationships; ontology elements only one-to-oneB. Both allow all relationship typesC. Neither allows one-to-many relationshipsD. Taxonomy allows one-to-many; ontology allows only one-to-oneE. Taxonomy elements form only a one-to-one relationship with another element; ontology elements can have one-to-one, one-to-many, many-to-one or many-to-many
6. What are the three key components of an ontology?
Question 6A. Tables, Columns and RowsB. Nodes, Edges and WeightsC. Concepts, Relationships and AttributesD. Facts, Roles and SentencesE. Categories, Tags and Labels
7. Which of the following is NOT one of the relationship types listed for ontologies?
Question 7A. HierarchicalB. TemporalC. CausalD. SpatialE. Alphabetical
8. From which Greek roots does the word taxonomy come?
Question 8A. taxis meaning order or arrangement, and nomos meaning law or scienceB. techne meaning craft, and logos meaning wordC. topos meaning place, and nomos meaning nameD. taxis meaning tax, and onoma meaning nameE. tele meaning far, and nomos meaning rule
9. Which statement about the relationship between taxonomies and ontologies is correct?
Question 9A. Ontologies can be part of taxonomies, but not the other way aroundB. Taxonomies can be part of ontologies, but not the other way aroundC. Taxonomies and ontologies can never be combinedD. Taxonomies are more advanced than ontologiesE. Ontologies contain no hierarchies
10. What common mistake is identified regarding structured and unstructured data?
Question 10A. Believing unstructured data cannot be analysedB. Believing that converting structured data from a table into text format turns it into unstructured dataC. Believing taxonomies are only for structured dataD. Believing ontologies replace databasesE. Believing metadata is optional for unstructured data