Andreas Abecker

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Publications by Andreas Abecker (bibliography)

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2008
 
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Biesalski, Ernst and Abecker, Andreas (2008): Skill-Profile Matching with Similarity Measures. In: Manolopoulos, Yannis, Filipe, Joaquim, Constantopoulos, Panos and Cordeiro, José (eds.) ICEIS 2006 - Enterprise Information Systems - 8th International Conference May 23-27, 2008, Paphos, Cyprus. pp. 210-218. Available online

2007
 
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Völkel, Max and Abecker, Andreas (2007): Cost-Benefit Analysis for the Design of Personal Knowledge Management Systems. In: Cordeiro, José and Filipe, Joaquim (eds.) ICEIS 2008 - Proceedings of the Tenth International Conference on Enterprise Information Systems Volume AIDSS June 12-16, 2007, Barcelona, Spain. pp. 95-105.

2006
 
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Biesalski, Ernst and Abecker, Andreas (2006): Similarity Measures for Skill-Profile Matching in Enterprise Knowledge Management. In: Manolopoulos, Yannis, Filipe, Joaquim, Constantopoulos, Panos and Cordeiro, José (eds.) ICEIS 2006 - Proceedings of the Eighth International Conference on Enterprise Information Systems Databases and Information Systems Integration May 23-27, 2006, Paphos, Cyprus. pp. 11-16.

 
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Hefke, Mark, Zacharias, Valentin, Abecker, Andreas, Wang, Qingli, Biesalski, Ernst and Breiter, Marco (2006): An Extendable Java Framework for Instance Similarities in Ontologies. In: Manolopoulos, Yannis, Filipe, Joaquim, Constantopoulos, Panos and Cordeiro, José (eds.) ICEIS 2006 - Proceedings of the Eighth International Conference on Enterprise Information Systems Databases and Information Systems Integration May 23-27, 2006, Paphos, Cyprus. pp. 263-269.

2003
 
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Abecker, Andreas, Bernardi, Ansgar and Elst, Ludger van (2003): Agent Technology for Distributed Organizational Memories: The Frodo Project. In: ICEIS 2003 2003. pp. 3-10.

2001
 
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Abecker, Andreas, Bernardi, Ansgar, Ntioudis, Spyridon, Mentzas, Gregoris, Herterich, Rudi, Houy, Christian, Müller, Stephan and Legal, Maria (2001): The DECOR Toolbox for Workflow-Embedded Organizational Memory Access. In: ICEIS 2001 2001. pp. 225-232.

1997
 
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Junker, Markus and Abecker, Andreas (1997): Integrating a Thesaurus for Rule Induction in Text Classification. In: Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1997. p. 338.

Rule learning algorithms show encouraging results on text classification tasks. They produce understandable results, they allow easy integration of background knowledge, and they can be extended to work with complex document representations. A serious problem in text classification is the skewed distribution of feature values. Many highly descriptive words and word patterns only occur very rarely. Unfortunately, a standard learning approach cannot decide whether rare features are relevant or caused by chance. One method to tackle this problem is to cluster rare features based on the presented training examples. In contrast, clustering can be done by exploiting background knowledge. We investigated this type of clustering in the framework of a separate-and-conquer rule learning algorithm. Documents in this algorithm are represented by words and pairs of adjacent words. In addition to conjunction as the basic refinement operator for rule hypotheses, we introduced thesaurus-based operators. They allow to generalize from words to more abstract concepts. The operators are based on hyponymy and meronymy hierarchies as represented by the electronic thesaurus Wordnet.

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Changes to this page (author)

10 Feb 2010: Enabled abstracts to be shown on Andreas Abecker's author page.
25 Aug 2009: Author was edited
25 Aug 2009: Author was edited
25 Aug 2009: Author was edited
25 Aug 2009: Author was edited
25 Aug 2009: Author was edited
25 Aug 2009: Author was edited
25 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:1997-2008
Publication count:7
Number of co-authors:15



Productive colleagues

Andreas Abecker's 3 most productive colleagues in number of publications:

Max Völkel:5
Ludger van Elst:4
Ansgar Bernardi:4


Collaboration count

Number of publications with 3 favourite co-authors:

Ernst Biesalski:3
Ansgar Bernardi:2
Mark Hefke:1

 

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Learn more about Andreas Abecker:
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Sep 03

Whenever we capture the complexity of the real world in formal structures, whether language, social structures, or computer systems, we are creating discrete tokens for continuous and fluid phenomena. In so doing, we are bound to have difficulty. However, it is only in doing these things that we can come to understand, to have valid discourse, and to design.

-- Alan Dix, p. 427 in "Upside-down A's and Algorithms - Computational Formalisms and Theory"

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