SDSC3015 - Knowledge Graph and Cognitive Computing

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2022/23 (Tentative), Semester B 2022/23 (Tentative), Summer 2023 (Tentative)

* The offering term is subject to change without prior notice
Course Aims

This course aims to introduce knowledge graphs, knowledge representations and reasoning, semantic web and ontologies, knowledge graph and its applications, and the cognitive computing technologies. Students will learn how to represent knowledge and process knowledge using programming skills. Students will master the basic ideas of ontologies, semantic web, reasoning, and cognitive computing. Students will be able to construct ontologies for real-world problems. Students will use ontologies to represent the knowledge and perform various reasoning tasks on ontologies. Students will be familiar with latest applications of knowledge graphs in cognitive computing, and state-of-the-art cognitive systems.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Detailed Course Information


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School of Data Science