Henner Graubitz
	Research Associate
	Research group MIS Management Information System Universitätsplatz 2 39106 Magdeburg Germany
	Room :	034
	Tel :	+49 - 391 - 67 - 11862
	Fax :	+49 - 391 - 67 - 18050
	E-mail :	graubitz at iti.cs.uni-magdeburg.de

Curriculum vitae

Education:

• Diplom in Economics (Dipl.-Kaufmann), Humboldt University zu Berlin, 2003

Academic positions:

• Since 07/2006: Research associate
• 02/2003-10/2004: Research associate, Project DIAsDEM.
• 04/2001-06/2002: Undergraduate Research Assistant, Department of E-Business at Leipzig Graduate School of Management (HHL)
• 11/1999-03/2001: Undergraduate Research Assistant, Institute for Information Systems, Humboldt University Berlin.

Publications

Conference Proceedings:

• Henner Graubitz and Myra Spiliopoulou. Deriving Multiple Topics to Label Small Document Regions. Proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK) Zaragoza, Spain, September 2004
• Henner Graubitz, Karsten Winkler and Myra Spiliopoulou. Semantic Tagging of Domain-Specific Text Documents with DIAsDEM. In Kai-Uwe Sattler, editor, Proceedings of the 1st International Workshop on Databases, Documents, and Information Fusion (DBFusion 2001), pages 61-72, Gommern, Germany, May 2001. Preprint Nr. 8, Institut für Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg. Download:
• Henner Graubitz, Myra Spiliopoulou and Karsten Winkler. The DIAsDEM Framework for Converting Domain-Specific Texts into XML Documents with Data Mining Techniques. In Proceedings of the First IEEE International Conference on Data Mining, pages 171-178, San Jose, CA, USA, November / December 2001. IEEE Computer Society, Los Alamitos.

Projects

DIAsDEM

DIAsDEM is a research project that deals with the integration of legacy data and semi-structured documents by employing data mining techniques. The project is financed by the German Research Society (Deutsche Forschungsgesellschaft, DFG). DIAsDEM consists of two research groups: the team of Prof. Dr. Stefan Conrad (Heinrich Heine University, Düsseldorf) and the team of Prof. Dr. Myra Spiliopoulou (Otto-von-Guericke-University, Magdeburg).

DIAsDEM aims at using information being hidden in unstructured data in order to support sense-making processes. This information is mostly included in insufficiently documented data sources. Some of these sources are erroneous, incomplete or contradictory. Data mining is used to comprehend the semantics of this information and to consolidate them in an information system of integrated and reliable data for further analyses and enquiries. In this connection tasks are in particular as follows:

# Detection of semantic characteristics of data and possibly existent dependencies between semantically related data.

# Utilisation of discovered semantics for the integration of data in a homogeneous information system.

Prof. Dr. Spiliopoulou's team is mainly dealing with the extraction of semantic characteristics from application-specific text archives by methods of data mining. At this stage, more information concerning DIAsDEM can either be found in the project application (Postscript-File , PDF-File) or in our recent publications.

Workgroup:

UMD

Institute

Research Group

Library