An RDF-based blackboard architecture for improving table analysis

Vanessa Long

doi:10.1109/ICDAR.2009.81

An RDF-based blackboard architecture for improving table analysis

Vanessa Long

School of Computing

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

4 Citations (Scopus)

5 Downloads (Pure)

Abstract

Table analysis is a complex problem, involving searching solutions from a large search space. Studies show that finding the most credible answers to complex problems often require combining multiple kinds of knowledge. Although the literature shows that both layout and language information have been used in table extraction systems, the amount of information each system uses is limited, and up till now, there is not an easy, systematic way to incorporate new information in these systems. This paper describes a framework for combining multiple solutions (including partial solutions) to solve a general table recognition problem.

Original language	English
Title of host publication	ICDAR '09
Subtitle of host publication	Proceedings of the 10th International Conference on Document Analysis and Recognition, 26-29 July 2009, Barcelona, Catalonia, Spain
Place of Publication	Los Alamitos, Calif.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	916-920
Number of pages	5
ISBN (Print)	9780769537252
DOIs	https://doi.org/10.1109/ICDAR.2009.81
Publication status	Published - 2009
Event	IEEE International Conference on Document Analysis and Recognition (10th : 2009) - Barcelona Duration: 26 Jul 2009 → 29 Jul 2009

Conference

Conference	IEEE International Conference on Document Analysis and Recognition (10th : 2009)
City	Barcelona
Period	26/07/09 → 29/07/09

Bibliographical note

Copyright 2009 IEEE. Reprinted from ICDAR '09 : Proceedings of the 10th International Conference on Document Analysis and Recognition, 26-29 July 2009, Barcelona, Catalonia, Spain. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

blackboard architecture
multi-agent system
intelligent experts
table analysis

Access to Document

10.1109/ICDAR.2009.81

Publisher version (open access)Final published version, 185 KBLicence: Unspecified

Cite this

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title = "An RDF-based blackboard architecture for improving table analysis",

abstract = "Table analysis is a complex problem, involving searching solutions from a large search space. Studies show that finding the most credible answers to complex problems often require combining multiple kinds of knowledge. Although the literature shows that both layout and language information have been used in table extraction systems, the amount of information each system uses is limited, and up till now, there is not an easy, systematic way to incorporate new information in these systems. This paper describes a framework for combining multiple solutions (including partial solutions) to solve a general table recognition problem.",

keywords = "blackboard architecture, multi-agent system, intelligent experts, table analysis",

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note = "Copyright 2009 IEEE. Reprinted from ICDAR '09 : Proceedings of the 10th International Conference on Document Analysis and Recognition, 26-29 July 2009, Barcelona, Catalonia, Spain. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University{\textquoteright}s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.; IEEE International Conference on Document Analysis and Recognition (10th : 2009) ; Conference date: 26-07-2009 Through 29-07-2009",

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Long, V 2009, An RDF-based blackboard architecture for improving table analysis. in ICDAR '09: Proceedings of the 10th International Conference on Document Analysis and Recognition, 26-29 July 2009, Barcelona, Catalonia, Spain. Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, Calif., pp. 916-920, IEEE International Conference on Document Analysis and Recognition (10th : 2009), Barcelona, 26/07/09. https://doi.org/10.1109/ICDAR.2009.81

An RDF-based blackboard architecture for improving table analysis. / Long, Vanessa.

ICDAR '09: Proceedings of the 10th International Conference on Document Analysis and Recognition, 26-29 July 2009, Barcelona, Catalonia, Spain. Los Alamitos, Calif. : Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 916-920.

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

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ER -

An RDF-based blackboard architecture for improving table analysis

Abstract

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Bibliographical note

Keywords

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Cite this