In this paper, we present an automated, quantitative, knowledge-poor method to evaluate the randomness of a collection of documents (corpus), with respect to a number of biased pa...
Figures in digital documents contain important information. Current digital libraries do not summarize and index information available within figures for document retrieval. We pr...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
Document printing has long been considered an indispensable part of the workspace. While this process is considered trivial and simple for environments where resources are ample (e...
Athanasios Karapantelakis, Alisa Devlic, Mohammad ...
The demand for ontologies is rapidly growing especially due to developments in knowledge management, E-commerce and the Semantic Web. Building an ontology and a background knowled...
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...