Affiliations: DEIS - Università della Calabria, Via P. Bucci,
Rende, Italy. E-mail: {talia, trunfio}@deis.unical.it | ICAR-CNR, Via P. Bucci, Rende, Italy. E-mail:
{congiusta, pugliese}@icar.cnr.it
Abstract: The increasing use of computers in all the areas of human activities
is resulting in huge collections of digital data. Databases are common
everywhere and are used as repositories of every kind of data. Knowledge
discovery techniques and tools are used today to analyze those very large data
sets to identify interesting patterns and trends in them. When data is
maintained over geographically distributed sites the computational power of
distributed and parallel systems can be exploited for knowledge discovery in
databases. In this scenario the Grid can provide an effective computational
support for distributed knowledge discovery on large data sets. To this purpose
we designed a system called Knowledge Grid. This paper describes the
Knowledge Grid architecture and discusses some related systems and models
recently proposed for knowledge discovery on Grids. The paper shows also how to
design and implement distributed knowledge discovery services, according to the
OGSA model, by using the Knowledge Grid environment starting from
searching Grid resources, composing software and data elements, and executing
the resulting application on a Grid.