K-INFO
HU
EN
Login
Subject » BMEVITMM138
Older versions Download TAD (PDF)

Media Content Management Systems

Médiatartalom- kezelő rendszerek
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
—
Subject name (Hungarian, English)
Médiatartalom- kezelő rendszerek
Media Content Management Systems
Subject code BMEVITMM138
Subject type —
Training Level —
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 2 1 0
type (linked/independent) — derived course —
Assessment type vizsga
Credits 4
Subject coordinator
Dr. Magyar Gábor Béla
Responsible department
Távközlési és Mesterséges Intelligencia Tanszék
Faculty Villamosmérnöki és Informatikai Kar
Subject website —
Primary curriculum type —
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme

1.      Fundamentals. Data, information,, content. Structured, semistructured, unstructured data, characterictics. Modelling, data schemes.

2.      Content Management. CMS model, CMS types. Digital Asset Management, WCMS, Knowledge Management, Enterprise Content Management. CMS plan, design, integration. CMS subsystems.

3.      Content management standards. OASIS. DITA: concepts, topics, DITA-map, products. Re-usability, content, design, processes.

4.      Semantic web model, layers. URI, XML, XML scheme, XML name space, RDF, RDF scheme, semantic graphs.

5.      Semantic web layers, thesauri, ontology, logics, proof, trust.

6.      Information Retrieval. Fundamentals of Information Retrieval (IR). General information retrieval model. IR architecture

7.      Boolean, Vector, Probabilistic models. Logical views.

8.      Index, taxonomy, folksonomy. PageRank, HITS algorithms. Precision and recall. Ranking.

9.      Web Search Engine. General Web Search Engine Architecture. Indexer, storage, crawler. Web search engine generations. Meta search.

10.  Multimedia databases. Linked and embedded content methods. Multimedia retrieval. Metadata-based retrieval. Representation of multimedia data.

11.  Audiovisual archives. Conceptions, architecture, functionality.

12.  e-Learning basics, standards (SCORM, LOM, QTI). Systems functionality, architecture.

13.  Knowledge management. Knowledge categories, creation, conversion. Knowledge management approaches. Knowledge map. Competence types and grades. Human and embedded knowledge. Knowledge transfer, organizations, tasks and topics.

14.  Case studies.

The developed syllabus is concerned with introducing the students to the identification, assessment and analysis of the Media Content Management Systems (MCMS) and it contains more parts based on content handling, search and display. Information retrieval (IR) is a large part in the course outline, containing basic measures, search techniques, indexing, ranking procedures, Boolean, vector and probabilistic models, weighting schemes. The syllabus presents different CMS types. For an efficient handling of the contents the metadata schemes and standards are needed. Semantic content management is also an important part, as a general method for conceptual description or modeling of information.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

Lectures and practices.

Tanulástámogató anyagok

Online források
R. Baeza-Yates, , B. Ribeiro-Neto: Modern; Information Retrieval. Addison-Wesley

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
nincs
General rules
Requirements: a.       There is 1 in-class test (ZH) in the semester. b.       In the examination period: written  examination with the possibility of oral one, there is no preliminary examination date. Optional course-work can be part of evaluation. c.       Condition for the signature is the pass mark of ZH test (40% above). Additional possibilities: There is one chance to repeat the test in the teaching period.
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses

Not provided.

Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
—
Requirements valid until:
—
Curriculum placement

No curriculum placements recorded for this subject version.