Knowledge Graphs and Ontology Engineering
| Title | Γράφοι Γνώσης και Μηχανική Οντολογιών / Knowledge Graphs and Ontology Engineering |
| Code | DWS207 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Georgios Meditskos |
| Common | No |
| Status | Active |
| Course ID | 600020701 |
Programme of Study: PMS EPISTĪMĪ DEDOMENŌN KAI PAGKOSMIOU ISTOU (2018 éōs sīmera) PF
Registered students: 4
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the selected specialization | 2 | 1 | 7.5 |
| Academic Year | 2023 – 2024 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600239503
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600239503
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=16327
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- DWS103 Semantic Web
General Prerequisites
Familiarization with principles of the Semantic Web and technologies for knowledge representation using RDF and OWL, including ontology development frameworks and reasoning systems
Learning Outcomes
Cognitive: The students shall acquire specialized knowledge in ontology development using advanced concepts and methodologies; Students will become acquainted with automated reasoning and ontology development methodologies (top-down and bottom-up); Use of technologies for managing semantic knowledge bases.
Skills: The students shall acquire specialized knowledge for developing and managing semantic models, inferencing and information retrieval from Knowledge Graphs. In addition, students will become acquainted with methods to survey the literature on the domain and practice on the preparation of papers and presentations (ability to communicate, presentation techniques, QA, etc.)
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work in teams
- Generate new research ideas
- Advance free, creative and causative thinking
Course Content (Syllabus)
Ontology development methodologies (Ontology Engineering), Description Logics, Advanced ontology design principles (Ontology Design Patterns), Knowledge Graph construction and validation (RDB2RDF, Shape Constraints and Expressions), Accessing and using semantic networks and graphs (DBpedia, YAGO, Wikidata, ConceptNet, BabelNet), Semantic repositories (RDF triplestores), RDF graph visualization (VOWL, OntoGraph, Gruff)
Keywords
Ontologies, Semantic Web, Knowledge Graphs
Educational Material Types
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ✓ | |||
| Project | 108 | ✓ | |||
| Other / Others | 78 | ✓ | |||
| Total | 225 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Additional bibliography for study
- Aidan Hogan, The Web of Data, 2020
- Maria Keet, An Introduction to Ontology Engineering, University of Cape Town, 2020
Last Update
06-12-2023
