Multimedia: computing, communications and applications
Multimedia: computing, communications and applications
The Semantic Web: The Roles of XML and RDF
IEEE Internet Computing
Everything You Wanted to Know About MPEG-7: Part 1
IEEE MultiMedia
Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information
DS-8 Proceedings of the IFIP TC2/WG2.6 Eighth Working Conference on Database Semantics- Semantic Issues in Multimedia Systems
A review of the benefits of using hypermedia manuals
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Database and Metadata Support of a Web-Based Multimedia Digital Library for Medical Education
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
Meta-information for multimedia elearning
Computer Science in Perspective
Implementing an e-Government Observatory for Rural SMEs
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Learning object repurposing for various multimedia platforms
Multimedia Tools and Applications
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One problem with all metadata approaches is that they try to be specialized and generic, so they are useful for different scenarios. While the languages for encoding and exchanging the metadata are already available, it will take more time for the industry to agree on a shared vocabulary for the metadata elements and values. Another problem with metadata is supporting all the different user roles that are involved during a resource's production and distribution. Future authoring systems will be able to automatically generate many metadata values and will offer user-friendly ways to provide information without dealing with the encoded metadata directly. Future work in this area will focus on building semantic networks out of single metadata descriptions. Even for the authors of a resource, it is not always easy to provide the adequate information. Establishing a network of resources without being an expert in knowledge building is even harder without appropriate tools that hide the complexity of the underlying models