The knowledge grid Page 1 A VAST amount of information is currently stored in digital data
repositories, yet it is often difficult to understand what is the important and useful information in …

This paper wishes to investigate the converging field of mobile and Grid computing by
defining an architecture for the provision of Grid services, which Is based on standards …

Data analysis techniques and services are needed to mine the massive amount of data
available and to extract useful knowledge from it. e service-oriented architecture (SOA) is …

Abstract Knowledge discovery in datasets integrated into Grids is a challenging research
task. These large datasets are being collected and accumulated across a wide variety of …

Applications that explore, query, analyze, visualize, and, in general, process very large scale
data sets are known as Data Intensive Applications. Large scale data intensive computing …

Data mining technology has emerged as a means for identifying patterns and trends from
large quantities of data. The Data Mining technology normally adopts data integration …

Intelligent Information Technology (iiT) encompasses the theories and ap plications of
artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data …

Abstract Knowledge discovery in databases or data mining is the semi-automated analysis
of large volumes of data, looking for the relationships and knowledge that are implicit in …

Considering different aspects of knowledge functioning, context is poorly understood in spite
of intuitively identifying this concept with environmental recognition. For dynamic knowledge …

Recent advances in computing, communications, and digital storage technologies, together
with development of high throughput data acquisition technologies have made it possible to …