Otto-von-Guerricke-Universität
- Faculty of Computer Science
Institute of Technical and Business Information Systems
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| Project DIAsDEM
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| Contact via |
Research group KMD
Knowledge Management & Discovery in Information Systems
c/o Henner Graubitz
Universitätsplatz 2
39106 Magdeburg
Germany
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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.
- Check out the newest version of the DIAsDEM-Workbench via Sourceforge
- Check out the newest information from HypKNOWsys
- We prepared also a flash animated
Demonstration. You can use it also to get an impression about the
DIAsDEM-Workbench and the research behind.
- 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
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Myra Spiliopoulou, Anja Schulz und Karsten Winkler. Text Mining an der
Börse: Einfluss von Ad-hoc-Mitteilungen auf die Kursentwicklung. In
Christine Becker und Heinz Redlich (Hrsg.): Data Mining und Statistik in
Hochschule und Wirtschaft, Proceedings der 7. Konferenz der SAS-Anwender in
Forschung und Entwicklung (KSFE), 20. Februar - 21. Februar 2003,
Universität Potsdam, S. 215-228. Shaker Verlag, Aachen, 2003.
PDF-File
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Karsten Winkler and Myra Spiliopoulou. Text Mining in der Wettbewerberanalyse: Konvertierung von Textarchiven
in XML-Dokumente. In Proceedings der 6. Konferenz der SAS Anwender in Forschung und Entwicklung, pages 347-363, Shaker Verlag, Aachen,
Germany, 2003. Download: Postscript-Fil
e, PDF-File
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Karsten Winkler and Myra Spiliopoulou. Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD.
In Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases
(PKDD'02), pages 461-474, Helsinki, Finland, August 2002. Springer-Verlag, Berlin, Heidelberg.
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Karsten Winkler and Myra Spiliopoulou. Semi-Automated XML Tagging of Public Text Archives: A Case Study. In Proceedings of EuroWeb 2001
"The Web in Public Administration", pages 271-285, Pisa, Italy, December 2001. Download: Postscript-File, PDF-File
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Karsten Winkler and Myra Spiliopoulou. Extraction of Semantic XML DTDs from Texts Using Data Mining Techniques. In Proceedings of
the K-CAP 2001 Workshop on Knowledge Markup and Semantic Annotation, pages 59-68, Victoria, BC, Canada, October 2001.
Download: Postscript-File, PDF-File
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Karsten Winkler and Myra Spiliopoulou. Integrating Data and Probabilistically Structured Text Documents. In Andreas Bauer,
Susanne Busse, Ralf-Detlef Kutsche and Wolfgang Lehner, editors, Proceedings des 5. Workshops "Förderierte Datenbanken"
und GI Arbeitstreffen "Konzepte des Data Warehousing" (FDBS 2001), pages 16-29, Berlin, Germany, October 2001.
Forschungsberichte des Fachbereichs Informatik, Bericht-Nr. 2001-14, Technische Universität Berlin. Download: Postscript-File, PDF-File
- 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.
- 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 Informatik, Otto-von-Guericke-Universität Magdeburg.
Download: Postscript-File, PDF-File
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Anja Schulz, Myra Spiliopoulou und Karsten Winkler. Kursrelevanzprognose von
Ad-hoc-Meldungen: Text Mining wider die Informationsüberlastung im Mobile
Banking. In: Wolfgang Uhr, Werner Esswein und Eric Schoop (Hrsg.).
Wirtschaftsinformatik 2003: Medien, Märkte, Mobilität, Band II, S. 181-200.
Physika-Verlag, Heidelberg, 2003.
Download:
PDF-File
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Myra Spiliopoulou and Karsten Winkler. Text Mining auf Handelsregistereinträgen: Der SAS Enterprise Miner im Einsatz.
In Klaus D. Wilde, Hajo Hippner, Melanie Merzenich, editors, Data Mining: Mehr Gewinn aus Ihren Kundendaten,
pages 117-124. Verlagsgruppe Handelsblatt, Düsseldorf, 2002.
Download: Postscript-File
, PDF-File
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Karsten Winkler. Semantic Tagging of Domain-Specific Text Archives with Data Mining Techniques. In Doctoral
Consortium at ECIS 2002: The Xth European Conference on Information Systems, Gdansk, Poland, June 2002.
URL: http://ecis2002.univ.gda.pl/ecis2002.html?s=phd. Download: Postscript-File, PDF-File
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Karsten Winkler. Semantische Auszeichnung von Textarchiven mit Data Mining-Methoden. In Doctorial Consortium im Vorfeld der
WI-IF 2001, Schloß Reisensburg bei Günzburg, Germany, September 2001. URL: http://wi.oec.uni-bayreuth.de/doctoral/.
Download:
Postscript-File, PDF-File
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Karsten Winkler and Myra Spiliopoulou. Employing Text Mining for Semantic Tagging in DIAsDEM. In KI Künstliche Intelligenz,
Themenheft Text Mining 16(2002)2:27-29.
Download:
Postscript-File, PDF-File
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Dr. Lutz Wille, Karsten Winkler und Prof. Dr. Myra Spiliopoulou: Von der
Veröffentlichung zur Datenbank - Volltexterschließung des Handelsregisters.
disk03, 21. Deutschsprachige SAS Konferenz, Bonn, November 2003.
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Myra Spiliopoulou, Anja Schulz and Karsten Winkler. Text Mining an der Börse: Einfluss von Ad-hoc-Mitteilungen auf die
Kursentwicklung. DISK 2002, 20. Deutschsprachige SAS Konferenz, Mannheim, Germany, November 2001.
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Karsten Winkler. Document Warehousing und Text Mining in der Wettbewerberanalyse. Vortrag im Rahmen der Vorlesung
"Informations- und Kommunikationssysteme", Wirtschaftswissenschaftliche Fakultät, Humboldt-Universität zu Berlin,
Berlin, Germany, January 2002. Download German Slides: PDF-File
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Myra Spiliopoulou and Karsten Winkler. Text Mining zur Konvertierung von Textarchiven in XML-Dokumente.
DISK 2001, 19. Deutschsprachige SAS Konferenz, Stuttgart, Germany, October 2001. Download German Slides:
PDF-File
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Myra Spiliopoulou. Textstrukturierung mit Data-Mining-Verfahren. Data-Mining-Anwendertage im Rahmen des Data-Mining-Cup 2001,
Chemnitz, Germany, June 2001. Download German Slides: PDF-File