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Searching for authors named "Andreas Abecker" – sorted by Relevance.

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  • Exploiting Thesaurus Knowledge in Rule Induction for Text Classification  
  • by Markus Junker, Andreas Abecker — 1997 — In: RANLP’97 - Recent Advances in NLP
  • …Systems for learning text classifiers recently gained considerable interest. One technique to implement such systems is rule induction. While most other approaches rely on a relatively simple document representation and do not make use of any background knowledge, rule induction algorithms offer a g…
  • Cited by 13 (3 self) – Add To MetaCart
  • Active Knowledge Delivery In Semistructured Administrative Processes  
  • by Andreas Abecker, Gregoris Mentzas — 2001 — Knowledge Management in Electronic Government, KMGov-2001
  • …. In this paper, we present the technical approach of the DECOR project to realize proactive, context-sensitive delivery of knowledge within semi-structured, knowledge-intensive processes. We describe some main ideas of the DECOR project and discuss their particular relevance for administrative proc…
  • Cited by 3 (1 self) – Add To MetaCart
  • From Theory Refinement to KB Maintenance: a Position Statement  
  • by Andreas Abecker, Klaus Schmid — 1996 — In ECAI'96
  • …. Since we consider theory refinement (TR) as a possible key concept for a methodologically clear view of knowledge-base maintenance, we try to give a structured overview about the actual state-of-the-art in TR. This overview is arranged along the description of TR as a search problem. We explain th…
  • Cited by 2 (0 self) – Add To MetaCart
  • Learning Complex Patterns for Document Categorization  
  • by Markus Junker, Andreas Abecker — 1998 — In: AAAI98/ICML Workshop on Learning for Text Categorization
  • …Knowledge-based approaches to document categorization make use of well elaborated and powerful pattern languages for manual writing of classification rules. Although such classification patterns have proven useful in many practical applications, algorithms for learning classifiers from examples most…
  • Cited by 5 (4 self) – Add To MetaCart
  • Optimized Nearest-Neighbor Classifiers Using Generated Instances  
  • by Matthias Fuchs, Andreas Abecker — 1996 — Learning Systems & Applications Group, Univeristy of
  • …We present a novel approach to classification, based on a tight coupling of instancebased learning and a genetic algorithm. In contrast to the usual instance-based learning setting, we do not rely on (parts of) the given training set as the basis of a nearestneighbor classifier, but we try to employ…
  • Cited by 3 (2 self) – Add To MetaCart
  • A Layer Architecture for the Integration of Rules, Inheritance, and Constraints  
  • by Andreas Abecker, Holger Wache — 1994 — In Proceedings of ICLP 94 post conference workshop on the Integration of Declarative Paradigms
  • …We informally introduce TaxLog, a close integration of logic programming and terminological reasoning. Terminological systems are handling declarative logic-based descriptions of conceptual knowledge. Most of them restrict their expressiveness and focus on (efficient) reasoning algorithms for certai…
  • Cited by 4 (1 self) – Add To MetaCart
  • Organizational Memory: Knowledge Acquisition, Integration, and Retrieval Issues  
  • by Andreas Abecker, Stefan Decker — Integration, and Retrieval Issues in Knowledge-Based Systems, Lecture Notes in Artificial Intelligence
  • …. The demand on Knowledge Management in the management and business sciences has lead to a growing community of IT people who have adopted the idea of building organizational memories or organizational memory information systems (OMIS). However, the range of ideas associated with these terms is enor…
  • Cited by 1 (0 self) – Add To MetaCart
  • Distributed Knowledge-Based Parsing for Document Analysis and Understanding
  • by Bertin Klein, Andreas Abecker — 1999 — In Proceedings ofIEEE International Conference on the Advances in Digital Libraries (ADL’99
  • …Document Analysis and Understanding (DAU) is a complex AI application with high industrial impact. For the increasing demands upon the bandwidth and quality of the analysis it is crucial to enable different analysis modules to collaborate. For making collaboration possible, we first examine the ques…
  • Cited by 5 (3 self) – Add To MetaCart
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