July 16, 2003 to July 18, 2003
Christian Seeling , Fraunhofer Institute for Applied Information Technology FIT
A large amount of strategically relevant business information is contained in unstructured texts. While information brokering approaches are used to contextualize such documents and to generate metadata, text mining is used to explore large document spaces. So far, little attention has been paid on a value-adding combination of these technologies. In this paper we show how metadata and documents can be complementarily represented and used interactively to support users in text corpus analysis. We present a text analysis portal which displays inter-document similarity by means of so-called document maps, complemented by a display of the domain ontology and metadata-based access methods.
Christian Seeling, "Exploiting Metadata for Ontology-Based Visual Exploration of Weakly Structured Text Documents", IV, 2003, 2013 17th International Conference on Information Visualisation, 2013 17th International Conference on Information Visualisation 2003, pp. 652, doi:10.1109/IV.2003.1218056