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Semester 1 2024 > ISIT219 - Knowledge and Information Engineering > Flashcards

ISIT219 - Knowledge and Information Engineering Flashcards

1
Q

What is knowledge engineering?

A

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

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2
Q

Define knowledge in the context of knowledge engineering.

A

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

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3
Q

What is data interpretation in knowledge engineering?

A

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

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4
Q

Define data in knowledge engineering.

A

Collected facts and figures.

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5
Q

Define information in knowledge engineering.

A

Comes from analyzing data.

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6
Q

What is the role of knowledge in decision making?

A

Knowledge is used for decision making.

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7
Q

What are typical data sources for business analytics?

A

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

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8
Q

What is knowledge acquisition?

A

Obtaining knowledge from various sources.

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9
Q

What is knowledge validation?

A

Knowledge checked using test cases for adequate quality.

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10
Q

What is knowledge representation?

A

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

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11
Q

What is inferencing in knowledge engineering?

A

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

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12
Q

What is involved in explanation and justification in knowledge engineering?

A

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

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13
Q

What are the sources of knowledge?

A

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

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14
Q

What is declarative knowledge?

A

Facts about things.

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15
Q

What is procedural knowledge?

A

Alternative actions based on using facts to obtain knowledge.

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16
Q

What is meta-knowledge?

A

Knowledge about knowledge.

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17
Q

What qualities are important for knowledge engineers?

A

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

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18
Q

What professional standards should knowledge engineers follow?

A

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

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19
Q

What are the skills required for knowledge acquisition?

A

Identifying and gathering relevant knowledge from various sources.

20
Q

How is knowledge validated in knowledge engineering?

A

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

21
Q

What is the importance of knowledge representation?

A

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

22
Q

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

A

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

23
Q

How do knowledge engineers ensure explanation and justification?

A

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

24
Q

What types of knowledge are crucial in knowledge engineering?

A

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

25
Q

What are the key responsibilities of a knowledge engineer?

A

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

26
Q

What is Knowledge Engineering

A

Process of developing knowledge based systems in any field

27
Q

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

A

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

28
Q

What is Knowledge

A

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

29
Q

Where to find Data for Business Analytics

A
  • Annual reports
  • Accounting audits
  • Financial profitability analysis
  • Economic trends
  • Marketing research
  • Operations management performance
  • Human resource measurements
29
Q

What is Knowledge Acquisition

A

Obtaining knowledge from various sources

30
Q

What are the meanings of
- Data
- Information
- Knowledge

A

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

31
Q

What is Knowledge Representation

A

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

32
Q

What is Knowledge Validation

A

Knowledge checked using test cases for adequate quality

33
Q

What is Explanation and Justification

A

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

33
Q

What is Inferencing

A

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

34
Q

What are the three types of sources and provide examples

A
  1. Documented
    - Written, viewed, sensory, behaviour
  2. Undocumented
    - Memory
  3. Acquired from
    - Machines
    - Humans
35
Q

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

A

Declarative knowledge
- Facts about things

Procedural knowledge
- Alternative actions based on the use of facts to obtain knowledge

Meta-knowledge
- Knowledge about knowledge

35
Q

What are Qualities of Knowledge Engineers

A

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

36
Q

What is Knowledge representation

A

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

37
Q

What is Human skills

A

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

38
Q

What is Fact finding

A

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

39
Q

What is Visualisation skills

A

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

40
Q

What is Analysis

A

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

41
Q

What is Creativity

A

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

42
Q

What is Managerial

A

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

Semester 1 2024 (5 decks)

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