We present SHIRI-Annot an automatic ontology-driven and unsupervised approach for the semantic annotation of documents which contain well structured parts and not well structured o...
The Web continues to grow at a tremendous rate. Search engines find it increasingly difficult to provide useful results. To manage this explosively large number of Web documents,...
Sandip Debnath, Tracy Mullen, Arun Upneja, C. Lee ...
Typical broadcast material contains not only studio-recorded texts read by trained speakers, but also spontaneous and dialect speech, debates with cross-talk, voice-overs, and on-...
Doris Baum, Daniel Schneider, Rolf Bardeli, Jochen...
Traditional object-oriented programming languages can be difficult to use when working with ontologies, leading to the creation of domain-specific languages designed specifically...
Vangelis Vassiliadis, Jan Wielemaker, Chris Mungal...
In this paper previous work on the detection of high-level concepts within multimedia documents is extended by introducing a mid-level ontology as a means of exploiting the visual ...
Evaggelos Spyrou, Phivos Mylonas, Yannis S. Avrith...