- Department of Software Engineering
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.
Basic knwledge of algorithmics, web and database tachnologies, and algebra.
- Syllabus of lectures:
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.
- Syllabus of tutorials:
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.
- Study Objective:
This module is deals with methods and models supporting automated processing and sharing information on the web by content and meaning. It focuses on formal models of knowledge representation (RDF, RDFS, OWL), their theoretical aspects (structures and satisfiability, description logic, relation to rule based systems) and also on practical aspects (e.g., crawling and annotation of web resources, user models, ontology mapping and querying).
- Study materials:
3. Hitzler, P., Krötzsch, M., Rudolph, S. ''Foundations of Semantic Web Technologies''. Chapman &amp; Hall/CRC, 2009. ISBN 142009050X.
4. The Wikipedia paper http://en.wikipedia.org/wiki/Semantic_Web contains many links and serves as good introduction.
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: