DocumentCode :
2179837
Title :
Knowledge-based document analysis
Author :
Blasius, K.-H. ; Grawemeyer, Beate ; John, Isabel ; Kuhn, Norbert
Author_Institution :
Fachhereich Angewandte Inf., Fachhochschule Trier, Germany
Volume :
2
fYear :
1997
fDate :
18-20 Aug 1997
Firstpage :
728
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 tasks. It allows to model and to interpret structural knowledge about documents and knowledge about the analysis process declaratively in a common framework
Keywords :
information retrieval; knowledge based systems; knowledge representation; application domain; knowledge representation language; knowledge-based document analysis; performance; semantic knowledge; strategic knowledge; syntactic knowledge; Concrete; Databases; Information analysis; Knowledge representation; Logic; Markup languages; Office automation; SGML; Technological innovation; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
Type :
conf
DOI :
10.1109/ICDAR.1997.620604
Filename :
620604
Link To Document :
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