ISIT219 - Knowledge and Information Engineering

Question 1

What is knowledge engineering?

Answer 1

The process of developing knowledge-based systems in any field.

Question 2

Define knowledge in the context of knowledge engineering.

Answer 2

The explicit functional associations between items of information and/or data.

Question 3

What is data interpretation in knowledge engineering?

Answer 3

Associating data with labels to give it meaning, as in interpreting lab test results.

Question 4

Define data in knowledge engineering.

Answer 4

Collected facts and figures.

Question 5

Define information in knowledge engineering.

Answer 5

Comes from analyzing data.

Question 6

What is the role of knowledge in decision making?

Answer 6

Knowledge is used for decision making.

Question 7

What are typical data sources for business analytics?

Answer 7

Annual reports, accounting audits, financial analysis, economic trends, marketing research, operations management, and HR measurements.

Question 8

What is knowledge acquisition?

Answer 8

Obtaining knowledge from various sources.

Question 9

What is knowledge validation?

Answer 9

Knowledge checked using test cases for adequate quality.

Question 10

What is knowledge representation?

Answer 10

Producing a map of knowledge then encoding it into the knowledge base.

Question 11

What is inferencing in knowledge engineering?

Answer 11

Forming links in the knowledge in software so the system can make decisions or give advice.

Question 12

What is involved in explanation and justification in knowledge engineering?

Answer 12

Designing additional program features to answer user questions and show how conclusions were made.

Question 13

What are the sources of knowledge?

Answer 13

Documented (written or viewed), undocumented (memory), and acquired from humans or machines.

Question 14

What is declarative knowledge?

Answer 14

Facts about things.

Question 15

What is procedural knowledge?

Answer 15

Alternative actions based on using facts to obtain knowledge.

Question 16

What is meta-knowledge?

Answer 16

Knowledge about knowledge.

Question 17

What qualities are important for knowledge engineers?

Answer 17

Empathy, patience, broad understanding capabilities, ability to integrate knowledge from various sources, and build knowledge bases.

Question 18

What professional standards should knowledge engineers follow?

Answer 18

Adhere to a professional code of conduct, update skills regularly, and comply with rules and regulations.

Question 19

What are the skills required for knowledge acquisition?

Answer 19

Identifying and gathering relevant knowledge from various sources.

Question 20

How is knowledge validated in knowledge engineering?

Answer 20

By using test cases to ensure the quality and relevance of the knowledge.

Question 21

What is the importance of knowledge representation?

Answer 21

It involves mapping and encoding knowledge into a usable format for knowledge-based systems.

Question 22

What is the role of inferencing in knowledge-based systems?

Answer 22

Creating logical connections within the knowledge to facilitate decision-making or advice.

Question 23

How do knowledge engineers ensure explanation and justification?

Answer 23

By designing systems that can explain their reasoning and justify conclusions based on the encoded knowledge.

Question 24

What types of knowledge are crucial in knowledge engineering?

Answer 24

Declarative, procedural, and meta-knowledge are all crucial types.

Question 25

What are the key responsibilities of a knowledge engineer?

Answer 25

Acquiring, validating, representing, and inferring knowledge, and ensuring explanation and justification in knowledge-based systems.

Question 26

What is Knowledge Engineering

Answer 26

Process of developing knowledge based systems in any field

Question 27

What is the issue with just numbers like; 12345 7.42 43 25

Answer 27

The numbers have no meaning they are just symbols – we need to associate them with labels

Question 28

What is Knowledge

Answer 28

The explicitly functional associations between items of information and/or data

Question 29

Where to find Data for Business Analytics

Answer 29

- Annual reports - Accounting audits - Financial profitability analysis - Economic trends - Marketing research - Operations management performance - Human resource measurements

Question 29

What is Knowledge Acquisition

Answer 29

Obtaining knowledge from various sources

Question 30

What are the meanings of - Data - Information - Knowledge

Answer 30

Data: Collected facts and figures Information: Comes from analysing data Knowledge: Decision making

Question 31

What is Knowledge Representation

Answer 31

Producing a map of knowledge then encoding this knowledge into the knowledge base

Question 32

What is Knowledge Validation

Answer 32

Knowledge checked using test cases for adequate quality

Question 33

What is Explanation and Justification

Answer 33

Additional computer program design, to help the computer answer questions posted by the user and also to show how a conclusion was made using knowledge in the knowledge base

Question 33

What is Inferencing

Answer 33

Forming links (inferences) in the knowledge in the computer software so that the KBS can make a decision or provide advice to the user

Question 34

What are the three types of sources and provide examples

Answer 34

1. Documented - Written, viewed, sensory, behaviour 2. Undocumented - Memory 3. Acquired from - Machines - Humans

Question 35

What are the three Types of Knowledge and what do they mean

Answer 35

Declarative knowledge - Facts about things Procedural knowledge - Alternative actions based on the use of facts to obtain knowledge Meta-knowledge - Knowledge about knowledge

Question 35

What are Qualities of Knowledge Engineers

Answer 35

Professions to who elicit knowledge from experts - Empathetic, patient - Broad range of understanding, capabilities Integrate knowledge from various sources - Creates and edits code - Operates tools Build knowledge base - Validates information - Trains users

Question 36

What is Knowledge representation

Answer 36

Being able to understand the information being provided by expert and record in some appropriate manner

Question 37

What is Human skills

Answer 37

Interviewing skill including how to acquire knowledge from an expert in a friendly and helpful manner

Question 38

What is Fact finding

Answer 38

Using tools such as interviews, questionnaires and observations to obtain knowledge from an expert

Question 39

What is Visualisation skills

Answer 39

Being able to visualise the overall design of the system, prior to committing the ideas to paper

Question 40

What is Analysis

Answer 40

Working through data and information to find the most appropriate method of representing it, and identifying links within the data and information

Question 41

What is Creativity

Answer 41

Using new ideas or methods of representing data within structure of the KBS

Question 42

What is Managerial

Answer 42

Having good time management and delegation skills to help ensure that the data is recorded on time and within budget