Course: Information and Knowledge Systems

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Course title Information and Knowledge Systems
Course code KMI/IZS
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Klán Petr, doc. Mgr. Ing. CSc.
  • Milota Josef, RNDr.
  • Beránek Ladislav, doc. Ing. CSc.
Course content
Thematic areas: 1. Basic concepts and characteristics of knowledge systems, areas of their use, knowledge systems on the web 2. Semantic site concept, semantic web application examples 3. RDF technology, knowledge structure in RDF, XML, RDFS, SPARQL 4. RDF within HTML (RDFa), alternatives - microdata, microformats 5. Linked Data, overview of Linked Data main sources 6. Data sources and dictionaries in real application areas 7. Foundations of ontological engineering, OWL, logic, derivation 8. Terms of semantic technology applicability, business models for semantic applications 9. The architecture of knowledge systems, the basics of knowledge management 10. Methods of creating knowledge systems, lifecycle 11. Knowledge management in an organization 12. Implementation of principles of knowledge management in organization, knowledge economy, tools and technologies

Learning activities and teaching methods
Monologic (reading, lecture, briefing)
  • Preparation for exam - 14 hours per semester
  • Preparation for credit - 14 hours per semester
  • Semestral paper - 42 hours per semester
  • Preparation for classes - 42 hours per semester
  • Class attendance - 28 hours per semester
Learning outcomes
The aim of the course is to acquaint students with some trends, practical approaches and theoretical knowledge in the field of information and knowledge systems with a particular focus on the techniques and tools used in the field of knowledge management. Students should be able to understand the basic concepts of knowledge management, working with selected tools and be able to search, validate, analyze and share knowledge.
Students should be able to apply basic approaches of knowledge systems in real business environments.
Prerequisites
Basic knowledge of areas: databases, enterprise information systems, dinformation systems esign etc.

Assessment methods and criteria
Student performance assessment

Working up several homeworks, creating a project application.
Recommended literature
  • ANTONIOU, G. a F.V HARMELEN. A semantic web primer. Cambridge: MIT Press, 2004.
  • AWARD, E. M. a H.M. GHAZIRI. Knowledge management. Saddle River: Prentice Hall, 2004.
  • BUREŠ, V. Znalostní management a proces jeho zavádění. Praha: Grada, 2007.
  • COLLISON, CH. a G. PARCELL. Knowledge management. Praha: Computer Press, 2004.
  • LIU, B. Web data mining : exploring hyperlinks, contents, and usage data. Berlin: Springer, 2007.
  • OLEJ, V. a P. PAVEL. Expertní a znalostní systémy v managementu. Expertní systémy: distanční opora. Vyd. 1. Pardubice: Univerzita Pardubice, 2004.
  • SZEREDI, P., G. LUKA?CSY a T. BENKO?. The Semantic Web explained: the technology and mathematics behind Web 3.0. Cambridge University Press, 2014. ISBN 978-0521700368.
  • TURBAN, V., J.E. ARONSON, T.P. LIANG a R. SHARDA. Decision Support and Business Intelligence Systems. Upper Saddle River: Prentice Hall, 2004.
  • WOOD, D., M. ZAIDMAN, L. RUTH a M. HAUSENBLAS. Linked data: structured data on the Web. Manning Publications, 2014. ISBN 1617290394.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester