Media Content Management Systems

Name of module

Media Content Management Systems

Credit Points (ECTS)




Person Responsible for Module (Name, Mail address)

Gábor Magyar,


Budapest University of Technology and Economics (BME)


Department of Telecommunications and Media Informatics

1. Prerequisites for Participation

Bachelor level knowledge and skills in information systems, information theory

2. Intended Learning Outcomes

Students who have successfully finished this module
  • are able to plan and design Content Management Systems (CMS), (a)
  • are capable to use metadata standards and (a)
  • are able to semantic content management technologies with state-of-the-art tools. (b)

3. Content

Media Content Management Systems: content aggregation, content handling, search, display. Media supply chain. Metadata systems and standards: DC, MPEG-7, MPEG-21, EBU. CMS model, CMS types: DAM, DM, LMS (Learning Management Systems), (web)CMS. CMS plan and design. CMS integration. Information and multimedia retrieval: methods for media and text types, search techniques, indexing, ranking procedures. Boolean, vector and probabilistic model. Searching on the Web. PageRank, webgraph methods, HITS, Boole-search, weighting schemes (tf-idf, etc.). Semi-structured data models, markup languages, XML. XML schema, XML transformation and query. Semantic content management (RDF, RDF Schema, ontologies). Semantic Web Layers. Thesaurus. Semantic web standards: SKOS, OWL, SPARQL, RIF. Building ontologies.

4. Teaching and Learning Methods

2h weekly hours lecture

1h weekly hour exercise with interactive course (problem solving, homework discussion)

5. Assessment and Grading Procedures

Written exam at the end. Grade is based on written exam.

6. Workload calculation (contact hours, homework, exam preparation,..)

3 weekly contact hours x 15 weeks = 45 h
3 weeky hours preparation and afterwork x 15 weeks = 45 h
Exam preparation: 30 h

Total: 120 h

7. Frequency and dates

Offered every spring semester. Classes start February and end mid May. Exam during the last 2 weeks of May and first 2 weeks of June.

8. Max. Number of Participants


9. Enrolment Procedures

See home page of the Faculty.

10. Recommended Reading, Course Material

  • Bob Boiko: Content Management Bible, Wiley, 2004
  • Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze: Introduction to Information Retrieval. Cambridge University Press, 2008
  • Ricardo Baeza-Yates, Berthier Ribeiro-Neto: Modern Information Retrieval: The Concepts and Technology behind Search (2nd Edition), ACM Press Books, 2011
  • Dean Allemang, James Hendler: Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL, Morgan Kaufmann, 2011