Flexible and Scalable Digital Library Search
Henk Ernst Blok, Menzo Windhouwer, Roelof van Zwol, Milan Petković, Henk Ernst, Martin L. Kersten, Willem Jonker, Blok Menzo, Windhouwer Roelof, Zwol Milan Petkovic, Peter M. G, Peter M. G. Apers, Kersten Willem Jonker · UvA-DARE (University of Amsterdam) · 2001
Introduction The everlasting search for new methods to explore the Inter- or Intranet is still going on. In this demo we present the combined e#ort 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 o#er a flexible solution for extraction and querying of meta-data from multimedia documents in general. Scalability and e#- ciency 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. media ... data metadata metaFeature Grammar Web Space DBMS Video (COBRA) Q&A trigger content video multimedia features data IR data IR