GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SEMANTIC WEB/5141305
Course Title: SEMANTIC WEB
Credits 3 ECTS 8
Semester 2 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Dr.Erdoğan DOĞDU
 -- WEB SITE(S) OF LECTURER(S)
  ceng.gazi.edu.tr/~hkaracan
 -- EMAIL(S) OF LECTURER(S)
  hkaracan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Understanding the computational aspects of Information Extraction (IE) and Integration from unstructured and semi-structured sources
Gaining the ability to build domain-specific Semantic Search Engines to improve Web Searching
Designing and conducting different applications on course content
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introduction
2. Week  Structured Web Documents in XML
3. Week  Simple Ontologies in RDF and RDF Schema
4. Week  RDF Formal Semantics
5. Week  Web Ontology Language: OWL
6. Week  Ontologies in OWL and OWL Formal Semantics
7. Week  Logic and Inference: Rules
8. Week  Midterm Exam
9. Week  Query Languages
10. Week  Ontology Engineering
11. Week  Applications: BioInformatics
12. Week  Applications: E-Commerce
13. Week  Project Presentations
14. Week  Project Presentations
15. Week  Final Exam
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Antoniou, G. & Van Harmelen, F. (2008). A semantic Web primer. Cambridge, Mass. : MIT Press
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
20
 Assignment
0
0
 Exercises
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
14
3
42
 Reading
14
2
28
 Searching in Internet and Library
14
1
14
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
3
3
 Final and Studying for Final
2
9
18
 Other
14
3
42
 TOTAL WORKLOAD: 
189
 TOTAL WORKLOAD / 25: 
7.56
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Improves and deepens the field knowledge at an expert level based on undergraduate proficiency.X
2Comprehends the interactions between the computer science and other related disciplines.X
3Uses expert level theoretical and practical knowledge acquired in the computer science field.X
4Creates new knowledge by integrating the computer science knowledge and the knowledge from related disciplines.X
5Defines a problem in the computer science field.X
6Analyses the problems in the computer science field by using scientific research methods.X
7Proposes solutions to the problems in the computer science field.X
8Solves problems in the computer science field.X
9Evaluates the results within the perspectives of quality processes.X
10Develops new approaches and methods by taking responsibility in complex situations in the application stages.X