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Course syllabus I-RZZ - Knowledge representation (FEEIT - SS 2018/2019)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: I-RZZ
Course unit title: Knowledge representation
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
seminar2 hours weekly (on-site method)

Credits allocated: 6
Recommended semester/trimester: Applied Informatics - master (semi-compulsory), 2. semester
Level of study: 2.
Prerequisites for registration: none
Assesment methods:
A - at least 92 points
B - at least 83 points
C - at least 74 points
D - at least 65 points
E - at least 56 points
from 100 points
Learning outcomes of the course unit:
Starting from overview of classical logic student learns basic of Description logics, the core representation language of the Semantic Web. He is able to design ontological models, use reasoning algorithms and integrate them in software systems.
Course contents:
1. Language of naive set theory
2. Language of First order logic
3. Description logics
4. Sematic od DL and its relation to TM, FOL
5. Interpretation, normalization, emulation
6. Reasoning tasks and inference problems
7. DL and knowlwdge base
8. Ontology languages, OWL , RDF
9. OWL in practice, OWL-tools
10. Reasoning algorithms and tools.
11. Ontology development methodology
12. Relationship between Ontology, ER and OO modeling.
Recommended or required reading:
van Harmelen, Lifschitz,Porter, Handbook of Knowledge Representation (Foundations of Artificial Intelligence), Elsevier (2008)

Language of instruction: slovak or english
Courses evaluation:
Assessed students in total: 304

6,9 %13,8 %18,1 %25,3 %32,6 %3,3 %
Name of lecturer(s): Ing. Ivana Budinská, PhD. (examiner, instructor) - slovak, english
RNDr. Igor Kossaczký, CSc. (examiner, instructor, lecturer, tutor) - slovak, english
doc. RNDr. Karol Nemoga, CSc. (person responsible for course) - slovak, english
Last modification: 16. 4. 2018
Supervisor: doc. RNDr. Karol Nemoga, CSc. and programme supervisor

Last modification made by RNDr. Marian Puškár on 04/16/2018.

Type of output: