Searching for Tables in Digital Documents

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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2

Curitiba, Parana, Brazil

September 23-September 26

ISBN: 0-7695-2822-8

	ASCII Text	x
	Y. Liu, K. Bai, P. Mitra, C. Giles, "Searching for Tables in Digital Documents," Document Analysis and Recognition, International Conference on, vol. 2, pp. 934-938, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007.

	BibTex	x
	@article{ 10.1109/ICDAR.2007.226, author = {Y. Liu and K. Bai and P. Mitra and C. Giles}, title = {Searching for Tables in Digital Documents}, journal ={Document Analysis and Recognition, International Conference on}, volume = {2}, year = {2007}, issn = {1520-5363}, pages = {934-938}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.226}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Searching for Tables in Digital Documents SN - 1520-5363 SP934 EP938 A1 - Y. Liu, A1 - K. Bai, A1 - P. Mitra, A1 - C. Giles, PY - 2007 VL - 2 JA - Document Analysis and Recognition, International Conference on ER -

Y. Liu, Pennsylvania State University

K. Bai, Pennsylvania State University

P. Mitra, Pennsylvania State University

C. Giles, Pennsylvania State University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.226

Tables are ubiquitous. In scientific documents, tables are widely used to present experimental results or statisti- cal data in a condensed fashion. Current search engines do not allow the end-user to search for relevant tables. In this paper, we describe TableSeer, an automatic table extraction and search engine system. TableSeer crawls scientific docu- ments, identifies documents with tables, extracts tables from documents, indexes them and enables end-users to search for tables. We also propose an extensive set of medium- independent metadata for tables representation. Given a query, TableSeer ranks the returned results using an inno- vative ranking algorithm ? TableRank. Our results show that TableSeer outperforms popular search engines, such as Google Scholar when the end-user seeks for tables.

Citation:

Y. Liu, K. Bai, P. Mitra, C. Giles, "Searching for Tables in Digital Documents," icdar, vol. 2, pp.934-938, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007

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