Searching for Tables in Digital Documents

Author

Liu, Ying ; Bai, Kun ; Mitra, Prasenjit ; Giles, C. Lee

Author_Institution

Pennsylvania State Univ., University Park

Volume

2

fYear

2007

fDate

23-26 Sept. 2007

Firstpage

934

Lastpage

938

Abstract

Tables are ubiquitous. In scientific documents, tables are widely used to present experimental results or statistical 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 documents, 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 innovative ranking algorithm - TableRank. Our results show that TableSeer outperforms popular search engines, such as Google Scholar when the end-user seeks for tables.

Keywords

search engines; ubiquitous computing; TableSeer; automatic table extraction; digital documents; innovative ranking algorithm; medium-independent metadata; search engine system; statistical data; Data mining; Displays; Economic indicators; Floods; Image retrieval; Indexing; Information retrieval; Internet; Search engines; Software libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on

Conference_Location

Parana

ISSN

1520-5363

Print_ISBN

978-0-7695-2822-9

Type

conf

DOI

10.1109/ICDAR.2007.4377052

Filename

4377052