Semantic Web Programming (CMPE567) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Semantic Web Programming CMPE567 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Computer Engineering Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course aims to provide the basic overview of what the Semantic Web is and how it can be used.
Course Learning Outcomes The students who succeeded in this course;
  • understand the concept structure of the semantic web technology and how this technology revolutionizes the World Wide Web and its uses.
  • understand the concepts of metadata, semantics of knowledge and resource, ontology, and their descriptions in XML-based syntax and web ontology language (OWL).
  • describe logic semantics and inference with OWL.
  • use ontology engineering approaches in semantic applications
Course Content XML, resource description language, web ontology language, ontologies and rules, query languages-SPARQL, ontology engineeering, semantic web applications and semantic web services.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction & XML Lecture Notes
2 Resource Description Language-RDF Lecture Notes Chapter 2 (Text Book 1)
3 Resource Description Language-RDF Lecture Notes Chapter 3 (Text Book 1)
4 Web Ontology Language-OWL Lecture Notes Chapter 4 (Text Book 1)
5 Web Ontology Language-OWL Lecture Notes Chapter 5 (Text Book 1)
6 Ontologies and Rules Lecture Notes Chapter 6 (Text Book 1)
7 Ontologies and Rules Lecture Notes Chapter 7(Text Book 1)
8 Query Languages-SPARQL Lecture Notes Chapter 7 (Text Book 1)
9 Query Languages- SPARQL Lecture Notes Chapter 7 (Text Book 1)
10 Ontology Engineeering Lecture Notes Chapter 8 (Text Book 1)
11 Ontology Engineeering Lecture Notes Chapter 8 (Text Book 1)
12 Semantic Web Applications Lecture Notes Chapter 9 (Text Book 1)
13 Semantic Web Services Lecture Notes
14 Semantic Web Services Lecture Notes
15 Review
16 Review

Sources

Course Book 1. Foundations of Semantic Web Technologies (Chapman & Hall/CRC Textbooks in Computing) Pascal Hitzler , Markus Krötzsch , Sebastian Rudolph ,Antoniou, G. and F. van Harmelen. 2004.
Other Sources 2. Powers, S. 2003. Practical RDF. Sebastopol, CA: O'Reilly.[ISBN: 0-596-00263-7]
3. Hebeler, J., Fisher, M., et al., Semantic Web Programming, Wiley, 2009
4. Grigoris Antoniou and Frank van Harmelen, A Semantic Web Primer, 2nd Edition, 2008 The Massachusetts Institute of Technology Press, ISBN: 978-0-262-01242-3

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 35
Final Exam/Final Jury 1 35
Toplam 5 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 To become familiar with the state-of-the art and the literature in the software engineering research domain X
2 An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area
3 Be able to conduct quantitative and qualitative studies in software engineering X
4 Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems X
5 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. X
6 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
7 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
8 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
9 Promote the development, adoption and sustained use of standards of excellence for software engineering practices. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 5 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 130