• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 6023 SEMANTIC WEB ELECTIVE 3 0 0 8

Offered By

Management Information Systems

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems

Course Objective

This course Semantic Web technologies (XML, RDF, OWL) to teach, nor that of ontology, the knowledge model based on ontology, the execution logic based on ontology aims to teach how to do and inquiry mechanisms.

Learning Outcomes of the Course Unit

1   Semantic web gives the basic concepts of Web learning and applying knowledge and skills. 2   Ontologies are defining, creating, designing, on reasoning, knowledge and skills of programming. 3   Semantic Web is analyzing Web data visualization and removal of the availability of information on the data stack brings the knowledge and skills

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Semantic Web Vision 2 Semantic Web Architecture 3 Ontology languages: XML 4 Ontology languages: RDF 5 Ontology languages: RDFS 6 Ontology languages: OWL 7 Ontology development with Protege 8 Mid-term 9 Querying ontologies 10 Reasoning with ontologies 11 Semantic web applications 12 Ontology programming with JENA library 13 Ontoloji Engineering 14 Presentations

Recomended or Required Reading

1. The Semantic Web primer, Grigoris Antoniou and Frank van Harmelen, MIT press 2. Semantic Web Programming by John Hebeler, Matthew Fisher, Ryan Blace and Andrew Perez-Lopez.

Planned Learning Activities and Teaching Methods

The activities are detailed in the 'Assessment Methods' and 'Workload Calculation' sections.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRJ PROJECT 3 PRS PRESENTATION 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTE* 0.20 + PRJ* 0.20 + PRS* 0.20 + FIN* 0.40 6 RST RESIT 7 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + PRJ * 0.20 + PRS * 0.20 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Students' performances are measured with a midterm exam, a project, a presentation and a final exam.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department apply.

Contact Details for the Lecturer(s)

Prof.Dr. Vahap TECIM vahap.tecim@deu.edu.tr

Office Hours

It will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 4 52 Preparation for midterm exam 1 10 10 Preparation for final exam 1 20 20 Preparing assignments 1 30 30 Preparing presentations 1 40 40 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 193

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 LO.1 5 4 4 4 5 5 4 4 5 LO.2 4 5 5 5 4 5 4 5 4 LO.3 4 5 5 4 4 5 5 4 5