Knowledge Modelling and Management (Level 10) (U02496)

? Credit Points : 10 ? SCQF Level : 10 ? Acronym : INF-4-KMM

This course addresses knowledge management through knowledge modelling techniques. It provides an introduction to the different types of knowledge modelling methods and explains how knowledge may be described in conceptual models to provide a foundation to support reasoning within modern organisations and to help them carry out tasks. The course will emphasise the design and uses of models: examples are ontologies, organisational and process models. It will also cover formal techniques for representation and reasoning with such knowledge.

Entry Requirements

? Pre-requisites : Successful completion of Year 3 of an Informatics Single or Combined Honours Degree, or equivalent by permission of the School. Knowledge Representation and Inference and Logic Programming are preferred but not strictly pre-requisite.

? Prohibited combinations : Knowledge Modelling & Management (Level 11)

Subject Areas

Home subject area

Knowledge Representation and Reasoning, (School of Informatics, Schedule O)

Other subject areas

Net-Centric Computing, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : 4th year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
08/01/2007	16:10	17:00	Room G.01, William Robertson Building	Central

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	16:10	17:00	Central
Lecture	Thursday	16:10	17:00	Central

Summary of Intended Learning Outcomes

-To understand the principles of ontology design;
-To be able to construct an ontology and understand the formal basis of the definitions it contains;
-To understand the issues of sharing knowledge in an organisational context and in a scientific community;
-To gain an overview of the different types of knowledge modelling methods and how they may be used together;
-To be able to select the appropriate modelling method(s) given certain circumstances;
-To be able to construct correct models given a domain;
-To be able to carry out reasoning on models based on lightweight logical methods.