Detecting and Exploring Semantic Concepts in Unstructured Data

A. Rauber, M. Dittenbach, H. Berger, A. Pesenhofer, G. Pƶlzlbauer, N. Sokolovska, R. Mayer, T. Lidy, R. Neumayer:
"Detecting and Exploring Semantic Concepts in Unstructured Data";
Vortrag: SEMANTICS 2005, Vienna, Austria (eingeladen); 23.11.2005 - 25.11.2005; in:"Proceedings of the International Symposium on Semantic Systems in the Knowledge Society - Challenges&Opportunities", OCG, (2005).

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Abstract:


With the abundance of data available in electronic form, sophisticated search techniques have become crucial to find useful pieces of information. Yet, this is now gradually being superseded by the need and desire to do more than merely locate information. The value does not reside primarily within single pieces of data to be located, but in the data collection as a whole. Obtaining an overview of the amount of data available, uncovering semantic concepts and relationships between groups of data allows us to make use of an amount of data as a whole.
In this paper we present an overview of recent works in the field of information extraction and visualization that allow us to analyze data, provide an overview, and unveil underlying concepts, focusing primarily on applications from the field of text mining.