Skip to main content


eCommons@Cornell

eCommons@Cornell >
College of Engineering >
Computer Science >
Computer Science Technical Reports >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6242
Title: Using White Space for Automated Document Structuring
Authors: Rus, Daniela
Summers, Kristen
Keywords: computer science
technical report
Issue Date: Sep-1994
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR94-1452
Abstract: We present and analyze efficient algorithms for the automated recognition and interpretation of layout structures in electronic documents. The key idea is to use the patterns in the distribution of white space in a document to recognize and interpret its components. The recognition algorithm divides the document into a hierarchy of logical elements; the interpretation algorithms classify these divisions as base-text, tables, indented lists, polygonal drawings, and graphs. We present experimental data and discuss an information access application. Our methodology allows the automatic markup of documents\footnote{For instance in the SGML format} and the creation of multi-level indices and browsing tools for electronic libraries.
URI: http://hdl.handle.net/1813/6242
Appears in Collections:Computer Science Technical Reports

Files in This Item:

File Description SizeFormat
94-1452.pdf1.17 MBAdobe PDFView/Open
94-1452.ps1.3 MBPostscriptView/Open

Refworks Export

Items in eCommons are protected by copyright, with all rights reserved, unless otherwise indicated.

 

© 2014 Cornell University Library Contact Us