Information Package / Course Catalogue
Ontology Engineering
Course Code: CSE427
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

Representation of information through ontologies, access to semantic data on the web and utilization of semantic data.

Course Content

Representation of information, languages ??to be used for representation, querying information, inference, connected data, ontology design methodologies, ontology modeling, ontology based data access, ontologies and natural language processing methods.

Name of Lecturer(s)
Learning Outcomes
1.Modeling information semantically
2.Ability to query the web with semantic approaches
3.To be able to search the web with semantic approaches
4. To be able to develop appropriate ontologies with the help of existing methodologies
5.Understanding the basic ontology logic
Recommended or Required Reading
1.Dean Allemang, James Handler, “Semantic Web for the Working Ontologist: Effective Modelling in RDFS and OWL”, 2 nd Ed., Morgan Kaufmann, 2011.
2.C. Maria Keet, “An Introduction to Ontology Engineering”, 1 st Ed., 2018.
3.John Hebeler, Matthew Fisher, Ryan Blace, Andrew Perez -Lopez, Mike Dean, “Semantic Web Programming”, 1 st Ed., Wiley, 2009.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Semantic Web
Week 2 - Theoretical
Information Engineering and Data Web
Week 3 - Theoretical
Description Logic
Week 4 - Theoretical
RDF Semantic Web Language
Week 5 - Theoretical
OWL Semantic Web Language
Week 6 - Theoretical
RDFS, SKOS, PROV, Schema.org, JSON-LD
Week 7 - Theoretical
SPARQL Query Language
Week 8 - Theoretical
SPARQL Query Language
Week 9 - Theoretical
Semantic Rule Definition and SWRL
Week 10 - Theoretical
Semantic Rule Definition and SWRL
Week 11 - Theoretical
Connected Data
Week 12 - Theoretical
Ontology Design Methodologies
Week 13 - Theoretical
Ontology Modeling
Week 14 - Theoretical
Ontologies and Natural Language Processing
Assessment Methods and Criteria
Type of AssessmentCountPercent
Term Assignment2%30
Midterm Examination1%30
Final Examination1%40
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice142142
Assignment140342
Midterm Examination110212
Final Examination110212
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
4
4
OÇ-2
5
4
4
OÇ-3
5
4
5
OÇ-4
5
4
4
5
4
OÇ-5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026