Article

Visually guided bottom-up table detection and segmentation in web documents

Authors:

Bernhard Krüpl,

Marcus HerzogAuthors Info & Claims

WWW '06: Proceedings of the 15th international conference on World Wide Web

Pages 933 - 934

https://doi.org/10.1145/1135777.1135951

Published: 23 May 2006 Publication History

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Abstract

In the AllRight project, we are developing an algorithm for unsupervised table detection and segmentation that uses the visual rendition of a Web page rather than the HTML code. Our algorithm works bottom-up by grouping word bounding boxes into larger groups and uses a set of heuristics. It has already been implemented and a preliminary evaluation on about 6000 Web documents has been carried out.

References

[1]

B. Krüpl, M. Herzog, and W. Gatterbauer. Using Visual Cues for Extraction of Tabular Data from Arbitrary HTML Documents. In Proc. of the 14th Int. World Wide Web Conf., pages 1000--1001, 2005.

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[2]

J. Liang, I. Phillips, R. Haralick. An Optimization Methodology for Document Structure Extraction on Latin Character Documents. In IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 23, No. 7, pages 719--734, 2001.

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[3]

G. Nagy and S. Seth. Hierarchical representation of optically scanned documents. In Proc. of the 7th Int. Conf. on Pattern Recognition, pages 347--349, 1984.

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Cited By

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Xue XWu JZhang J(2022)Semiautomated Generation of Logic Rules for Tabular Information in Building Codes to Support Automated Code Compliance CheckingJournal of Computing in Civil Engineering10.1061/(ASCE)CP.1943-5487.000100036:1Online publication date: Jan-2022
https://doi.org/10.1061/(ASCE)CP.1943-5487.0001000
Shigarov A(2022)Table understanding: Problem overviewWIREs Data Mining and Knowledge Discovery10.1002/widm.148213:1Online publication date: 21-Nov-2022
https://doi.org/10.1002/widm.1482
Kim JHwang H(2020)A Rule-Based Method for Table Detection in Website ImagesIEEE Access10.1109/ACCESS.2020.29909018(81022-81033)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2990901
Show More Cited By

Index Terms

Visually guided bottom-up table detection and segmentation in web documents
1. Applied computing
  1. Document management and text processing
    1. Document capture
2. Information systems
  1. Information retrieval
  2. Information storage systems

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Information & Contributors

Information

Published In

WWW '06: Proceedings of the 15th international conference on World Wide Web

May 2006

1102 pages

ISBN:1595933239

DOI:10.1145/1135777

General Chairs:
Leslie Carr
University of Southampton
,
David De Roure
University of Southampton
,
Arun Iyengar
IBM Research
,
Program Chairs:
Carole Goble
University of Manchester, UK
,
Mike Dahlin
University of Texas at Austin

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

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WWW06

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WWW06: The 15th International World Wide Web Conference 2006

May 23 - 26, 2006

Edinburgh, Scotland

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Xue XWu JZhang J(2022)Semiautomated Generation of Logic Rules for Tabular Information in Building Codes to Support Automated Code Compliance CheckingJournal of Computing in Civil Engineering10.1061/(ASCE)CP.1943-5487.000100036:1Online publication date: Jan-2022
https://doi.org/10.1061/(ASCE)CP.1943-5487.0001000
Shigarov A(2022)Table understanding: Problem overviewWIREs Data Mining and Knowledge Discovery10.1002/widm.148213:1Online publication date: 21-Nov-2022
https://doi.org/10.1002/widm.1482
Kim JHwang H(2020)A Rule-Based Method for Table Detection in Website ImagesIEEE Access10.1109/ACCESS.2020.29909018(81022-81033)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2990901
Xue WLi QZhang ZZhao YWang H(2018)Table Analysis and Information Extraction for Medical Laboratory Reports2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00043(193-199)Online publication date: Aug-2018
https://doi.org/10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00043
Herzog CKordomatis IHolzinger WFayzrakhmanov RKrüpl-Sypien BShin SMaldonado J(2013)Feature-based object identification for web automationProceedings of the 28th Annual ACM Symposium on Applied Computing10.1145/2480362.2480504(742-749)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2480362.2480504
Göbel MHassan TOro EOrsi G(2013)ICDAR 2013 Table CompetitionProceedings of the 2013 12th International Conference on Document Analysis and Recognition10.1109/ICDAR.2013.292(1449-1453)Online publication date: 25-Aug-2013
https://dl.acm.org/doi/10.1109/ICDAR.2013.292
Xu WShi Y(2011)Enabling efficient browsing and manipulation of web tables on smartphoneProceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III10.5555/2027296.2027311(117-126)Online publication date: 9-Jul-2011
https://dl.acm.org/doi/10.5555/2027296.2027311
Krüpl-Sypien BFayzrakhmanov RHolzinger WPanzenböck MBaumgartner RHardy MTompa F(2011)A versatile model for web page representation, information extraction and content re-packagingProceedings of the 11th ACM symposium on Document engineering10.1145/2034691.2034721(129-138)Online publication date: 19-Sep-2011
https://dl.acm.org/doi/10.1145/2034691.2034721
Xu WShi Y(2011)Enabling Efficient Browsing and Manipulation of Web Tables on SmartphoneHuman-Computer Interaction. Towards Mobile and Intelligent Interaction Environments10.1007/978-3-642-21616-9_14(117-126)Online publication date: 2011
https://doi.org/10.1007/978-3-642-21616-9_14
Tzong-Han Tsai RChiu BWu C(2011)Visual webpage block importance prediction using conditional random fieldsJournal of the American Society for Information Science and Technology10.1002/asi.2160562:11(2225-2235)Online publication date: 1-Nov-2011
https://dl.acm.org/doi/10.1002/asi.21605
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