A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.
MI-SWE.16 Semantic Web Extent of teaching: 2P+1C Instructor: Completion: Z,ZK Department: 18102 Credits: 5 Semester: Z Annotation:
Students learn standards used for processing and sharing knowledge mainly in the area of web. They get used to designing and using knowledge models, knowledge representation, and practical aspects as publishing, sharing, exchange, and acquisition of knowledge on the web. The presentation is based on the idea of the semantic web, including its standards and technologies (RDF, RDFS, OWL) and formal models.
Lecture syllabus:
1. Semantic web - motivation, needs, problems, examples. 2. XML and URI. 3. Data model RDF. 4. RDF Schema. 5. OWL - syntax and intuition. 6. SPARQL - syntax and intuition. 7. Formal semantics of RDF and RDFS. 8. Formal semantics of OWL and reasoning. 9. Semantics of SPARQL. 10. Basics of description logic (DL) and computational complexity of reasoning in DL. 11. Weak description logics (effectiveness versus expressiveness). 12. Description logics with specific domains. 13. Extraction and anotation of web sources, GRDDL, user models. Seminar syllabus:
1. Acquittance with vision of semantic web, organizing labs, task: write an essay on personal vision of semantic web. 2. XML, XML Schema, URI. 3. RDF, essays on semantic web vision finished. 4. RDF Schema and simple ontologies, presentation of essays on semantic web visions, discussion, proposal of projects and teams. 5. Examples of ontologies, acquittance with Protege tool, selection of projects and creation of teams. 6. Ontology creation using a standard tool. 7. Querying RDF data by SPARQL. 8. Consultation on projects I. 9. Consultation on projects II. 10. Extraction tool - example. 11. Annotation of web resources by example. 12. Ontology mapping. 13. Delivering and presentation of projects I. 14. Delivering and presentation of projects II. Literature:
3. Hitzler, P., Krötzsch, M., Rudolph, S. ''Foundations of Semantic Web Technologies''. Chapman & Hall/CRC, 2009. ISBN 142009050X. 4. The Wikipedia paper http://en.wikipedia.org/wiki/Semantic_Web contains many links and serves as good introduction. Requirements:
Basic knwledge of algorithmics, web and database tachnologies, and algebra.
Informace o předmětu a výukové materiály naleznete na https://moodle-vyuka.cvut.cz/course/view.php?id=2250 The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester MI-SP-SP.2016 System Programming V 3 MI-SP-TI.2016 System Programming V 3 MI-PSS.2016 Computer Systems and Networks V 3 MI-NPVS.2016 Design and Programming of Embedded Systems V 3 NI-TI.2018 Computer Science V 3 MI-ZI.2016 Knowledge Engineering V 3 MI-ZI.2018 Knowledge Engineering V 3 MI-WSI-ISM.2016 Web and Software Engineering V 3 MI-WSI-WI.2016 Web and Software Engineering PZ 3 MI-WSI-SI.2016 Web and Software Engineering V 3 MI-PB.2016 Computer Security V 3 MI-SPOL.2016 Unspecified Branch/Specialisation of Study VO 3
Page updated 19. 4. 2024, semester: L/2020-1, L/2021-2, Z/2023-4, Z/2024-5, Z/2019-20, Z/2022-3, L/2019-20, L/2022-3, Z/2020-1, Z/2021-2, L/2023-4, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška