Information graphics, such as bar charts and line graphs, are a rich knowledge source that should be accessible to users. However, techniques that have been effective for document or image retrieval are inadequate for the retrieval of such graphics. We present and evaluate a new methodology that hypothesizes information needs from user queries and retrieves infographics based on how well the in...

Graphical information is very important in common information publishing. For visually impaired users this information is usually not accessible. Scalable Vector Graphics, a recommendation of the World Wide Web Consortium, describes graphical information in an XML document. We propose a transformation scheme into a tactile representation for this kind of graphics. Navigation modes, filters, and...

Information extraction is the task of extracting structured data from a degraded document. It includes data extraction such as text, image or graphics from the sources such as an image, video or documents. Text detection and extraction from the degraded document finds application in wide range of study. In this paper, an Optical Character Recognition less (OCR-less) method of obtaining an origi...

This paper examines the thesis that processes of creating, publishing, and managing documents are undergoing radical changes. In order to assess the validity of the thesis and to better understand the nature of the revolution, it is necessary to establish a framework for analysis. The paper takes two perspectives to set the stage. First, an historical analysis attempts to posit the current deve...

We present a linguistically-motivated technique for the recognition and grouping of simplex noun phrases (SNPs) called LinkIT. Our system has two key features: (1) we efficiently gather minimal NPs, i.e. SNPs, as precisely and linguistically defined and motivated in our paper ; (2) we apply a refined set of postprocessing rules to these SNPs to link them within a document. The identification of...