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Corporate memories (stored information and internal processes) in both private and public organizations grow at an exponential rate. This growth is not only quantitative but also qualitative, in the form of increasing interdependencies between processes and information bits. Although the quantitative growth is relatively easy to handle, increasing information complexity is constantly pushing existing information systems to their limits. It is slowly becoming a self-proving fact that organizations will have to transition from the traditional model of searchable/updatable repositories of "facts and figures" to self-organizing, self-adapting corporate knowledge management systems. Ontologies and Semantic Web principles are the most promising relevant technology, now entering their mature age, allowing the creation of extensible vocabularies able to describe any semantic area. Project ONTO-LOGGING is an attempt to harness the full potential of ontologies as a flexible tool of knowledge management within any knowledge-driven organization, such as corporations and public administrations .

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In this paper, the most recent version of the DIVAS system is presented. The system designs and develops a multimedia search engine based on advanced direct video and audio search techniques operating directly on compressed content. The basic scheme explores novel media content indexing and search technologies and integrates them into a scalable multimedia search engine. The developed algorithms facilitate for direct searching in large repositories of compressed audiovisual content, providing an alternative and complementary path for metadata based audio/video search. In addition, DIVAS adopts a module-based, expandable architecture, facilitating the ongoing expansion of the system based on researchers' contributions. In this study, the high-level architecture of the DIVAS system is provided, giving rise to the functional components of the main framework and the basic scheme incorporated for indexing and searching audiovisual repositories.