Web Based Systems

1.

Subject title

Web Based Systems

Веб базирани системи

2.

Code

F23L3W079

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Информатичка едукација, Software engineering and information systems, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Стручни студии за програмирање, Стручни студии за програмирање, Software Engineering, Cloud Computing,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

4 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Димитар Трајанов ворн. проф. д-р Милош Јовановиќ

9.

Prerequisites for enrollment

Алгоритми и податочни структури или Примена на алгоритми и податочни структури

10.

Subject goals and competencies:

Introduction and use of Semantic Web, Linked Data, and Knowledge Graph technologies. Students will learn to develop intelligent applications based on knowledge graphs and to find and use open data sets.

11.

Subject content:

Lectures: 1. Semantic Web 2. Basic protocols and standards in Semantic Web (RDF, RDFS, OWL) 3. Development of ontologies (Analysis, reuse, Design, Meta data, knowledge base) 4. Open data 5. Related Data 6. Schema.org as a concept for global communication. 7. Using Big Data Sets (DBPedia) 8. Knowledge graphs 9. Creating knowledge graphs from textual data 10. Machine learning with graphs 11. Graph-neural networks 12. Graph neural networks in knowledge graphs 13. Intelligent applications based on data and visualization of knowledge graphs Exercises: 1. Describing web documents with RDF 2. RDF Schema 3. Libraries for working with RDF data 4. Query language for RDF data: SPARQL 5. Web Ontologies Language: OWL 6. Development of ontologies 7. Introduction to the concept of linked data and knowledge graphs 8. Consuming linked data and knowledge graphs 9. Creating linked data and knowledge graphs 10. RDF databases and RDF datasets 11. Publishing related data and knowledge graphs 12. Statistical and machine analysis of knowledge graphs 13. Intelligent applications based on data and visualization of knowledge graphs (exercises)

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации).

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

15 points

17.4.

Final exam

65 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

реализирани активности 15.1 и 15.2

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature