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2019/20 Taught Postgraduate Module Catalogue

COMP5860M Semantic Technologies and Applications

15 creditsClass Size: 60

Module manager: Dr J.G. Stell
Email: J.G.Stell

Taught: Semester 2 View Timetable

Year running 2019/20

This module is not approved as an Elective

Objectives

On completion of this module, students should be able to:
- Demonstrate an understanding of the architecture of the Semantic Web;
- Demonstrate an understanding of the knowledge representation formalisms in use in the Semantic Web;
- Demonstrate knowledge of ontology engineering principles;
- Demonstrate knowledge of existing applications of semantic web technologies;
- Use common Semantic Web tools to apply semantic web technologies;
- Reason about the significance of semantic technologies and the directions in which the field is going to develop.

Learning outcomes
On completion of the year/programme students should have provided evidence of being able to:
-to demonstrate in-depth, specialist knowledge and mastery of techniques relevant to the discipline and/or to demonstrate a sophisticated understanding of concepts, information and techniques at the forefront of the discipline;
-to exhibit mastery in the exercise of generic and subject-specific intellectual abilities;
-to demonstrate a comprehensive understanding of techniques applicable to their own research or advanced scholarship;
-proactively to formulate ideas and hypotheses and to develop, implement and execute plans by which to evaluate these;
-critically and creatively to evaluate current issues, research and advanced scholarship in the discipline.

Skills outcomes
Knowledge modelling and coding.
Semantic augmentation.
Semantic queries with SPAQL.
USe of intelligent tools.


Syllabus

Knowledge and data formalisms; ontology engineering; semantic enrichment and retrieval; linked data architectures, applications using semantic technologies (e.g. decision making, learning, health, e-business, digital libraries).

There will be a practical component with hands-on experience on applying semantic web technologies in a specific domain.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Laboratory111.0011.00
Lecture221.0022.00
Private study hours117.00
Total Contact hours33.00
Total hours (100hr per 10 credits)150.00

Opportunities for Formative Feedback

Attendance, pratcical sessions and formative assessment tasks.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
PracticalPractical exercise using existing tool20.00
ReportReport20.00
Total percentage (Assessment Coursework)40.00

This module is re-assessed by exam only.


Exams
Exam typeExam duration% of formal assessment
Open Book exam2 hr 60.00
Total percentage (Assessment Exams)60.00

This module is re-assessed by exam only.

Reading list

There is no reading list for this module

Last updated: 05/11/2019 08:50:05

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