Using Non-Textual Cues for Electronic Document Browsing

In Digital Libraries: Current Issues, Nabil R. Adam, Bharat K. Bhargava, and Yelena Yesha, editors. Chapter 9, pp. 129 - 162. Lecture Notes in Computer Science series. Springer-Verlag, 1995.

Co-authored with Daniela Rus.

We present and analyze effficient 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 and the creation of multi-level indices and browsing tools for electronic libraries.

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