Knowledge-based document analysis

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

doi:10.1109/ICDAR.1997.620604

Knowledge-based document analysis

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

Trier University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

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 language	English
Title of host publication	Proceedings of the Fourth International Conference on Document Analysis and Recognition
Publisher	IEEE
Pages	728-731
Number of pages	4
Volume	2
ISBN (Print)	0-8186-7898-4
DOIs	https://doi.org/10.1109/ICDAR.1997.620604
Publication status	Published - Aug 1997
Externally published	Yes
Event	4th International Conference on Document Analysis and Recognition - Ulm, Germany Duration: 18 Aug 1997 → 20 Aug 1997 Conference number: 4

Conference

Conference	4th International Conference on Document Analysis and Recognition
Abbreviated title	ICDAR
Country/Territory	Germany
City	Ulm
Period	18/08/97 → 20/08/97

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.1997.620604

Cite this

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title = "Knowledge-based document analysis",

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.",

author = "Blaesius, {Karl Hans} and Beate Grawemeyer and Isabel John and Norbert Kuhn",

year = "1997",

month = aug,

doi = "10.1109/ICDAR.1997.620604",

language = "English",

isbn = "0-8186-7898-4",

volume = "2",

pages = "728--731",

booktitle = "Proceedings of the Fourth International Conference on Document Analysis and Recognition",

publisher = "IEEE",

address = "United States",

note = "4th International Conference on Document Analysis and Recognition, ICDAR ; Conference date: 18-08-1997 Through 20-08-1997",

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TY - GEN

T1 - Knowledge-based document analysis

AU - Blaesius, Karl Hans

AU - Grawemeyer, Beate

AU - John, Isabel

AU - Kuhn, Norbert

N1 - Conference code: 4

PY - 1997/8

Y1 - 1997/8

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0030682878&partnerID=8YFLogxK

U2 - 10.1109/ICDAR.1997.620604

DO - 10.1109/ICDAR.1997.620604

M3 - Conference proceeding

AN - SCOPUS:0030682878

SN - 0-8186-7898-4

VL - 2

SP - 728

EP - 731

BT - Proceedings of the Fourth International Conference on Document Analysis and Recognition

PB - IEEE

T2 - 4th International Conference on Document Analysis and Recognition

Y2 - 18 August 1997 through 20 August 1997

ER -

Knowledge-based document analysis

Abstract

Conference

ASJC Scopus subject areas

Access to Document

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