NW: Text Mining: Knowledge Discovery in Text Datanbases and Efficient Document Processing

The amount of documents available in archives and on the web is growing exponentially. This growth induces a demand for methods that automatically analyze large volumes of documents, discover and utilize valuable knowledge contained in them.

A substantial part of our working processes consists of processing (i.e., reading, writing, manipulating) documents. Many tools support the administration of text documents, such as file systems, databases, or document management systems. Much greater efforts (and more expenses), however, are imposed by the actual document manipulation processes such as writing documents. Any support of document manipulation processes requires substantial knowledge; it is therefore much more difficult to support document processing rather than document administration.

The goal of the Text Mining project is to develop and study text mining algorithms that discover knowledge in large document archives, and utilize this knowledge to support future text manipulation processes.

Principal investigators
Scheffer, Tobias Prof. Dr. (Details) (Junior Research Group 'Text-Mining: Efficiency of Document Processing Systems' (DFG))

DFG: Nachwuchsgruppe

Duration of project
Start date: 06/2003
End date: 06/2005

Last updated on 2022-08-09 at 01:08