Leveraging corporate context within knowledge-based document analysis and understanding |
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Authors: | Claudia Wenzel Heiko Maus |
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Affiliation: | (1) German Research Center for Artificial Intelligence (DFKI), P.O. Box 2080, 67608 Kaiserslautern, Germany; e-mail: {wenzel,maus}@dfki.uni-kl.de , DE |
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Abstract: | Knowledge-based systems for document analysis and understanding (DAU) are quite useful whenever analysis has to deal with
the changing of free-form document types which require different analysis components. In this case, declarative modeling is
a good way to achieve flexibility. An important application domain for such systems is the business letter domain. Here, high
accuracy and the correct assignment to the right people and the right processes is a crucial success factor. Our solution
to this proposes a comprehensive knowledge-centered approach: we model not only comparatively static knowledge concerning
document properties and analysis results within the same declarative formalism, but we also include the analysis task and
the current context of the system environment within the same formalism. This allows an easy definition of new analysis tasks
and also an efficient and accurate analysis by using expectations about incoming documents as context information. The approach
described has been implemented within the VOPR (VOPR is an acronym for the Virtual Office PRototype.) system. This DAU system
gains the required context information from a commercial workflow management system (WfMS) by constant exchanges of expectations
and analysis tasks. Further interaction between these two systems covers the delivery of results from DAU to the WfMS and
the delivery of corrected results vice versa.
Received June 19, 1999 / Revised November 8, 2000 |
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Keywords: | : Document analysis system – Office processes – Context information – Document knowledge |
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