Last modified: 14 Aug 2024 17:16
Knowledge Representation (KR) is concerned with how knowledge can be represented symbolically and manipulated in an automated way by reasoning programs. In fact, KR has long been considered central to AI because it is a significant factor in determining the success of knowledge-based systems.
This course describes the formalisation of knowledge and its use in knowledge-based systems. It follows the whole "life-cycle" of knowledge, from the initial identification of relevant expertise, through its capture, representation (in ontology and /or rule languages), use (based on reasoning), evaluation, and reuse.
| Study Type | Undergraduate | Level | 4 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Offshore | Sustained Study | No |
| Co-ordinators |
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Students undertaking this course will be introduced to the following concepts:
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 75 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Demonstrate mastery of core principles and concepts of knowledge-based systems |
| Procedural | Analyse | Perform an in-depth knowledge representation analysis of a domain and application |
| Procedural | Apply | Apply relevant formal and semi-formal modelling techniques, and to perform relevant calculations |
| Procedural | Apply | Communicate results effectively at an appropriate level of technical depth |
| Procedural | Evaluate | Evaluate different knowledge-based systems |
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
500-word essay |
Word Count | 500 | |
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Demonstrate mastery of core principles and concepts of knowledge-based systems |
| Procedural | Apply | Apply relevant formal and semi-formal modelling techniques, and to perform relevant calculations |
| Procedural | Evaluate | Evaluate different knowledge-based systems |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Demonstrate mastery of core principles and concepts of knowledge-based systems |
| Procedural | Evaluate | Evaluate different knowledge-based systems |
| Procedural | Apply | Apply relevant formal and semi-formal modelling techniques, and to perform relevant calculations |
| Procedural | Analyse | Perform an in-depth knowledge representation analysis of a domain and application |
| Procedural | Apply | Communicate results effectively at an appropriate level of technical depth |
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