InfoTuning with KARAT: Capitalizing on Existing Documents

Bidjan Tschaitschian, Andreas Abecker, and Franz Schmalhofer

*German Research Center for Artificial Intelligence, 
P.O. Box 2080, D-67608 Kaiserslautern, Germany, Email:

Abstract. Organizations store their information in electronic or paper documents. This information is severely underutilized in the daily work of most organizations. Because there are no effective means to access the documents, employees do not find relevant information, or are not even aware of its existence. We describe Information Tuning - a first step towards knowledge management in enterprises. Information Tuning capitalizes on existing documents and enables better exploitation of the contained knowledge by adding the background, context, and meta information which is necessary for making possible beneficial utilization, sharing, and reuse. We present an Information Tuning method which evolved from model-based knowledge acquisition from texts, and illustrate the method with application examples. Information Tuning is supported by the KARAT tool which applies techniques from text analysis and hypertext technology.


In: Enric Plaza and Richard Benjamins (eds.) 10th European Workshop on Knowledge Acquisition, Modeling, and Management
  (EKAW-97) . Sant Feliu de Guíxols, Catalonia, Spain. Springer Verlag, LNAI 1319. October 1997.


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