Knowledge-based document analysis

Karl Hans Blaesius, Beate Grawemeyer, Isabel John, Norbert Kuhn

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

7 Citations (Scopus)

Abstract

The performance of document analysis systems significantly depends on knowledge about the application domain that can be exploited in the analysis process. Typically one has to deal with different sources of knowledge like syntactic knowledge, semantic knowledge or strategic knowledge guiding the analysis process. We present a knowledge based document analysis system based on a knowledge representation language specially designed for document analysis tasks. It allows to model and to interpret structural knowledge about documents and knowledge about the analysis process declaratively in a common framework.

Original languageEnglish
Title of host publicationProceedings of the Fourth International Conference on Document Analysis and Recognition
PublisherIEEE
Pages728-731
Number of pages4
Volume2
ISBN (Print)0-8186-7898-4
DOIs
Publication statusPublished - Aug 1997
Externally publishedYes
Event4th International Conference on Document Analysis and Recognition - Ulm, Germany
Duration: 18 Aug 199720 Aug 1997
Conference number: 4

Conference

Conference4th International Conference on Document Analysis and Recognition
Abbreviated titleICDAR
CountryGermany
CityUlm
Period18/08/9720/08/97

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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