The everlasting search for new methods to explore the Inter- or Intranet is still going on. In this demo we present the combined effort of the AMIS and DMW research projects, each covering significant parts of this problem.
The contribution of this demo is twofold. Firstly, we demonstrate how feature grammars offer a flexible solution for extraction and querying of meta-data from multimedia documents in general. Scalability and efficiency support are illustrated for full text indexing and retrieval. Secondly, we show how for a more limited domain, like an Intranet, conceptual modeling can offer additional and more powerful query facilities. The limited domain case, also allows the extraction and querying of high-level concepts from raw video data.
Figure 1 - System architecture
(Colored areas are clickable if supported by your browser)
Figure 1 shows the integrated architecture of the digital library/web search engine. We have used four different colors (red, orange, blue, and green) to distinguish the parts of the four main authors. You will find these colors in the menu on the right of this page and on the poster. Depending on your browser, you may click on the colored parts in Figure 1 to go to the corresponding page.