Module Specification

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
1. Module Title Ontologies and Semantic Web
2. Module Code COMP318
3. Year Session 2023-24
4. Originating Department Computer Science
5. Faculty Fac of Science & Engineering
6. Semester Second Semester
7. CATS Level Level 6 FHEQ
8. CATS Value 15
9. Member of staff with responsibility for the module
Dr VAM Tamma Computer Science V.Tamma@liverpool.ac.uk
10. Module Moderator
11. Other Contributing Departments  
12. Other Staff Teaching on this Module
Mrs J Birtall School of Electrical Engineering, Electronics and Computer Science Judith.Birtall@liverpool.ac.uk
Professor F Wolter Computer Science Wolter@liverpool.ac.uk
13. Board of Studies
14. Mode of Delivery
15. Location Main Liverpool City Campus
    Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
16. Study Hours 30

    10

    40
17.

Private Study

110
18.

TOTAL HOURS

150
 
    Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other
19. Timetable (if known)            
 
20. Pre-requisites before taking this module (other modules and/or general educational/academic requirements):

COMP111 Introduction to Artificial Intelligence
21. Modules for which this module is a pre-requisite:

 
22. Co-requisite modules:

 
23. Linked Modules:

 
24. Programme(s) (including Year of Study) to which this module is available on a mandatory basis:

25. Programme(s) (including Year of Study) to which this module is available on a required basis:

26. Programme(s) (including Year of Study) to which this module is available on an optional basis:

27. Aims
 

To provide guidelines, concepts and models for designing and evaluating applications utilising advanced web technologies To introduce Artificial Intelligence and Semantic Web techniques which can be applied to the application of advanced web technologies To introduce the notion of semantic web applications intended to be used by software.

 
28. Learning Outcomes
 

(LO1) At the conclusion of the module students shouldHave an understanding of the basic formal methods and techniques for designing and implementing advanced web applications

 

(LO2) Have an appreciation for Artificial Intelligence and Semantic Web research related to advanced web technology applications

 

(LO3) Be able to apply specific methods and techniques in the design and development of an application of advanced web technology for a case study

 

(S1) Information skills - trustability of information sources

 

(S2) Numeracy/computational skills - Problem solving

 

(S3) Information skills - Critical thinking

 
29. Teaching and Learning Strategies
 

Teaching Method 1 - Lecture
Description:
Attendance Recorded: Yes

Teaching Method 2 - Laboratory Work
Description:
Attendance Recorded: Yes

Standard on-campus delivery
Teaching Method 1 - Lecture
Description: Mix of on-campus/on-line synchronous/asynchronous sessions
Teaching Method 2 - Laboratory Work
Description: On-campus synchronous sessions

 
30. Syllabus
   

Introduction to advanced web technologies (1 lecture) Search engines and search issues (5 lectures) RDF (6 lectures) OWL and its applications (6 lectures) SPARQL (4 lectures) Ontology modelling (3 lectures) Linked data and their applications (3 lectures) Revision (2 lectures)

 
31. Recommended Texts
  Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
 

Assessment

32. EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
  (318) Written Exam Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 2 150 70
33. CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
  (318.1) Class Test Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 2 0 10
  (318.2) CA2 Assessment Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 2 0 10
  (318.3) CA3 Completion of lab tasks 0 10