Automated table understanding using stub patterns

Roya Rastan; Hye Young Paik; John Shepherd; Armin Haller

doi:10.1007/978-3-319-32025-0_33

Automated table understanding using stub patterns

Roya Rastan^*, Hye Young Paik, John Shepherd, Armin Haller

^*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

Tables in documents are a rich source of information, but not yet well-utilised computationally because of the difficulty of extracting their structure and data automatically. In this paper, we progress the state-of-the-art in automatic table extraction by identifying common patterns in table headers to develop rules and heuristics for determining table structure. We describe and evaluate a table understanding system using these patterns and rules.

Original language	English
Title of host publication	Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings
Editors	Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, Hui Xiong, X. Sean Wang
Publisher	Springer Verlag
Pages	533-548
Number of pages	16
ISBN (Print)	9783319320243
DOIs	https://doi.org/10.1007/978-3-319-32025-0_33
Publication status	Published - 2016
Event	21st International Conference on Database Systems for Advanced Applications, DASFAA 2016 - Dallas, United States Duration: 16 Apr 2016 → 19 Apr 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9642
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Database Systems for Advanced Applications, DASFAA 2016
Country/Territory	United States
City	Dallas
Period	16/04/16 → 19/04/16

Access to Document

10.1007/978-3-319-32025-0_33

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Rastan, R., Paik, H. Y., Shepherd, J., & Haller, A. (2016). Automated table understanding using stub patterns. In S. B. Navathe, W. Wu, S. Shekhar, X. Du, H. Xiong, & X. S. Wang (Eds.), Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings (pp. 533-548). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9642). Springer Verlag. https://doi.org/10.1007/978-3-319-32025-0_33

Rastan, Roya ; Paik, Hye Young ; Shepherd, John et al. / Automated table understanding using stub patterns. Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. editor / Shamkant B. Navathe ; Weili Wu ; Shashi Shekhar ; Xiaoyong Du ; Hui Xiong ; X. Sean Wang. Springer Verlag, 2016. pp. 533-548 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Automated table understanding using stub patterns",

abstract = "Tables in documents are a rich source of information, but not yet well-utilised computationally because of the difficulty of extracting their structure and data automatically. In this paper, we progress the state-of-the-art in automatic table extraction by identifying common patterns in table headers to develop rules and heuristics for determining table structure. We describe and evaluate a table understanding system using these patterns and rules.",

keywords = "Category hierarchy, Table categories, Table logical structure, Table stub analysis, Table understanding",

author = "Roya Rastan and Paik, {Hye Young} and John Shepherd and Armin Haller",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016 ; Conference date: 16-04-2016 Through 19-04-2016",

year = "2016",

doi = "10.1007/978-3-319-32025-0_33",

language = "English",

isbn = "9783319320243",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "533--548",

editor = "Navathe, {Shamkant B.} and Weili Wu and Shashi Shekhar and Xiaoyong Du and Hui Xiong and Wang, {X. Sean}",

booktitle = "Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings",

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Rastan, R, Paik, HY, Shepherd, J & Haller, A 2016, Automated table understanding using stub patterns. in SB Navathe, W Wu, S Shekhar, X Du, H Xiong & XS Wang (eds), Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9642, Springer Verlag, pp. 533-548, 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, Dallas, United States, 16/04/16. https://doi.org/10.1007/978-3-319-32025-0_33

Automated table understanding using stub patterns. / Rastan, Roya; Paik, Hye Young; Shepherd, John et al.
Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. ed. / Shamkant B. Navathe; Weili Wu; Shashi Shekhar; Xiaoyong Du; Hui Xiong; X. Sean Wang. Springer Verlag, 2016. p. 533-548 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9642).

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

TY - GEN

T1 - Automated table understanding using stub patterns

AU - Rastan, Roya

AU - Paik, Hye Young

AU - Shepherd, John

AU - Haller, Armin

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Tables in documents are a rich source of information, but not yet well-utilised computationally because of the difficulty of extracting their structure and data automatically. In this paper, we progress the state-of-the-art in automatic table extraction by identifying common patterns in table headers to develop rules and heuristics for determining table structure. We describe and evaluate a table understanding system using these patterns and rules.

AB - Tables in documents are a rich source of information, but not yet well-utilised computationally because of the difficulty of extracting their structure and data automatically. In this paper, we progress the state-of-the-art in automatic table extraction by identifying common patterns in table headers to develop rules and heuristics for determining table structure. We describe and evaluate a table understanding system using these patterns and rules.

KW - Category hierarchy

KW - Table categories

KW - Table logical structure

KW - Table stub analysis

KW - Table understanding

UR - http://www.scopus.com/inward/record.url?scp=84962339495&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-32025-0_33

DO - 10.1007/978-3-319-32025-0_33

M3 - Conference contribution

SN - 9783319320243

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 533

EP - 548

BT - Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings

A2 - Navathe, Shamkant B.

A2 - Wu, Weili

A2 - Shekhar, Shashi

A2 - Du, Xiaoyong

A2 - Xiong, Hui

A2 - Wang, X. Sean

PB - Springer Verlag

T2 - 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016

Y2 - 16 April 2016 through 19 April 2016

ER -

Rastan R, Paik HY, Shepherd J, Haller A. Automated table understanding using stub patterns. In Navathe SB, Wu W, Shekhar S, Du X, Xiong H, Wang XS, editors, Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings. Springer Verlag. 2016. p. 533-548. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-32025-0_33

Automated table understanding using stub patterns

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