Intelligent image retrieval
and browsing using semantic web techniques - a case study
Eero Hyvonen 
Abstract
The Semantic Web is the vision of the next-generation World Wide Web
in which the meaning of content, such as photographs, is made understandable
to machines. The underlying new technology enables, e.g., the creation
of more intelligent content-based information retrieval systems on the
Web and in stand-alone applications.
In this presentation a practical application of
Semantic Web techniques to the image database of the Helsinki University
Museum is presented and demonstrated. From the end-user's viewpoint,
the application combines the benefits of view-based search with the
idea of ontological reasoning and ‘semantic browsing’, where
the system recommends semantic links from a photograph to other semantically
related photographs (e.g. from a photo depicting a person to photographs
of her/his relatives).
Eero Hyvonen, is Professor at the University
of Helsinki, Department of Computer Science.

|