Data intensive applications in Life Sciences extensively use the Hidden Web as a platform for information sharing. Access to these heterogeneous Hidden Web resources is limited thr...
Anupam Bhattacharjee, Aminul Islam, Mohammad Shafk...
The rising awareness of the challenges of preserving information over the long term has led to a wealth of initiatives developing economic models, methods, tools, systems, guideli...
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
The rapid growth of available data arises the need for more sophisticated techniques for semantic access to information. It has been proved that using conceptual model or ontology...
: XML has emerged as the industry standard for representing and exchanging data and is already predominant in several applications today. Business, analytic and structered data wil...