| dc.contributor | Szűcs Gábor | en_EN |
| dc.creator | Magyar Gábor | en_EN |
| dc.date | 2014-04-30 | en_EN |
| dc.date.accessioned | 2019-08-08T10:30:12Z | |
| dc.date.available | 2019-08-08T10:30:12Z | |
| dc.identifier.uri | http://dtk.tankonyvtar.hu/xmlui/handle/123456789/3830 | |
| dc.description | 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. Applications of information retrieval are emphasized, as search engines, crawling, link analysis, webgraph methods, Search Engine Optimization. The syllabus presents different CMS types: DAM (Digital Asset Management), DM (Document Management), LMS (Learning Management Systems), WCMS (Web CMS), and combination of them, the Enterprise Content Management System (ECMS). For an efficient handling of the contents the metadata schemes and standards (DC, MPEG-7, MPEG-21, EBU) are needed, which are intended to establish a common understanding of the meaning of the data, to ensure proper use and interpretation of the data. Semantic content management (RDF, RDF Schema, ontology) is also an important part, because it has come to be used as a general method for conceptual description or modeling of information. | en_EN |
| dc.format | application/epub+zip | en_EN |
| dc.format | application/pdf | en_EN |
| dc.language | en | en_EN |
| dc.publisher | Eötvös Loránd University Faculty of Informatics | en_EN |
| dc.relation | 12. Digital Media Technologies program Media Content Management Systems (BME) | en_EN |
| dc.rights | Magyar Gábor | en_EN |
| dc.rights | Szűcs Gábor | en_EN |
| dc.rights | Eötvös Loránd University Faculty of Informatics | en_EN |
| dc.subject | Web data description languages | en_EN |
| dc.subject | Semantic web description languages | en_EN |
| dc.subject | Resource Description Framework (RDF) | en_EN |
| dc.subject | Web Ontology Language (OWL) | en_EN |
| dc.subject | Extensible Markup Language (XML) | en_EN |
| dc.subject | Markup languages | en_EN |
| dc.subject | Multimedia information systems | en_EN |
| dc.subject | Enterprise ontologies | en_EN |
| dc.subject | taxonomies and vocabularies | en_EN |
| dc.subject | Document metadata | en_EN |
| dc.subject | Computing education | en_EN |
| dc.title | Media Content Management Systems | en_EN |
| dc.type | Tankönyv | en_EN |
| dtk.fir | Computer Science and Information Technology | en_EN |
| dtk.oecd | 05. Social sciences::05.08. Media and communications | en_EN |
| dtk.oecd | 01. Natural sciences::01.02. Computer and information sciences | en_EN |
| dtk.player | epubreader | en_EN |
| dtk.purchase | TÁMOP-4.1.2.A/1-11/1-2011-0050 Eötvös Loránd Tudományegyetem | en_EN |
| dtk.size | 147 p. | en_EN |
| dtk.type | book | en_EN |
| dtk.udc | ---- MAIN TABLES::0 SCIENCE AND KNOWLEDGE. ORGANIZATION. COMPUTER SCIENCE. INFORMATION. DOCUMENTATION. LIBRARIANSHIP. INSTITUTIONS. PUBLICATIONS::004 Computer science and technology. Computing. Data processing::004.01/.08 Special auxiliary subdivision for computing::004.08 Input, output and storage media | en_EN |
| dtk.udc | ---- MAIN TABLES::0 SCIENCE AND KNOWLEDGE. ORGANIZATION. COMPUTER SCIENCE. INFORMATION. DOCUMENTATION. LIBRARIANSHIP. INSTITUTIONS. PUBLICATIONS::006 Standardization of products, operations, weights, measures and time::65 Communication and transport industries. Accountancy. Business management. Public relations::659 Publicity. Information work. Public relations::659.3 Mass communication. Informing, enlightening of the public at large | en_EN |
