The Knowledge Grid

“The Knowledge Grid is an intelligent and sustainable interconnection environment that enables people and machines to effectively capture, publish, share and manage knowledge resources. It also provides appropriate on-demand services to support scientific research, technological innovation, cooperative teamwork, problem solving, and decision making.”

The above definition of Knowledge Grid is given by Professor Hai Zhuge, China’s e-Science Knowledge Grid Environment, IEEE Intelligent Systems. He is the founder of the China Knowledge Grid Research Group and has authored an immensely popular book on the technological concept by the name of “The Knowledge Grid”. (Click on the following link for details of this book – http://www.worldscibooks.com/compsci/5738.html)

The knowledge grid has been looked at with different perspectives by different scientists over the years.

Mario Cannataro and Domenico Talia designed it as a software system based on a set of services for knowledge discovery on the Grid. The main goal is to enable the collaboration of scientists and professionals that must mine data stored in different research centers as well as executive managers that must use a knowledge management system operating on several data warehouses located in different company establishments.

According to their research, the Knowledge Grid uses the basic Grid services and defines a set of additional layers to implement the services of distributed knowledge discovery on globally connected computers where each node can be a sequential or a parallel machine. The Knowledge Grid enables the collaboration of scientists that must mine data stored in different research centers as well as analysts that must use a knowledge management system operating on several data warehouses located in the different company establishments.

Hai Zhuge has clarified the notion of The Knowledge Grid as follows:

• Knowledge Grid Environment does not equal to Knowledge discovery + Grid computing.

• Knowledge Grid Environment does not equal to Knowledge base + Grid computing.

• Knowledge Grid Environment does not equal to Distributed data mining.

• Knowledge Grid Environment does not equal to Distributed knowledge base.