Architecture and a prototype of a collaborative system for intelligence sharing from mixed multimedia sources based on annotation
Résumé
Collection of information from divergent sources can be enriching given the fact of developments in multimedia information sources and available internet technology. The difficult question to address is how information from divergent multimedia sources can be presented for a decision support system bearing in mind human factors that are frequently raised in such kind of system. In this work, we present an architecture of how such problem is being solved particular in a decision support environment. We demonstrate three-tier architecture of a prototype of a system based on this conception.
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