A knowledge grid is a software architecture used in supercomputing to collect and disseminate information and datasets found across the internet. It enables deep collaboration and is used primarily by the scientific community, with gradual expansion into industrial and commercial applications. The purpose of developing a knowledge grid is to enable all Internet users associated with the grid to be able to search, access and share knowledge and resources.
A knowledge grid is a software architecture used in supercomputing to scan, collect, distill and disseminate information and datasets found across the internet in disparate physical locations. The amount of knowledge available on the Internet is vast and ever-expanding. A knowledge grid is the evolution of data mining and knowledge discovery methods imposed on a computational grid.
Grid computing was born in 1995 with the Information Wide Area Year (I-WAY) experiment. The scientific community sought to connect 17 sites across North America via high-speed networks to enable connection and resource sharing. Since then, grid computing has grown to be seen as a conglomerate that can connect all resources in such a way that a participant at any site can use any resource on the grid and that it can be built and become a resource in and of itself. self.
The purpose of developing a knowledge grid is to enable all Internet users associated with the grid to be able to search, access and share knowledge and resources. Knowledge grids are primarily used by the scientific community, with gradual expansion into industrial and commercial applications. As more data is stored in computers, more knowledge discovery grids and platforms are expected to be developed to correlate this data.
Knowledge discovery in database (KDD) systems are put in place to parse data across single-site computational grids. Parallel and distributed knowledge discovery (PDKD) platforms have been developed to ingest extreme amounts of data across multiple sites. This is where the knowledge grid comes into play, as researchers have sought to create standards for knowledge discovery and grid computation.
There are many uses for a knowledge grid. In science, a knowledge grid enables deep collaboration where data sets are kept in different places. Similarly, in a management scenario, a knowledge grid helps team members collaborate in a way that was previously not possible. Educational collaborations and research efforts can be driven forward with the use of this evolving computing platform. As the speed of computers increases and internet connectivity becomes ubiquitous, knowledge networks are expected to become more and more prevalent.
The ability to access, share and manage knowledge that exists anywhere, from anywhere is central to a knowledge grid. It can collect knowledge from all over the world and is continuously improving because all data is stored dynamically. Problem solving, collaborations and research efforts are expected to benefit from the evolution of knowledge network technology.
Protect your devices with Threat Protection by NordVPN
