Knowledge Grid

Concept Fran Berman earlier proposed the concept of knowledge grid, knowledge grid is an intelligent interconnection environment that enables users or virtual roles to effectively capture, publish, share and manage knowledge resources, and other services for the users and to provide the required knowledge services, support for knowledge innovation, and work together. Problem-solving and decision support, which contains characteristics of the human cognitive epistemology and ontology; application of social, ecological and economic principles; adoption of next-generation Internet technologies and standards used, knowledge grid will go beyond the existing information retrieval , filtering, mining, question answering and other technical fields. traditional natural language processing, speech and handwriting recognition, scientific computing, formal semantics, and security is not the main direction of the knowledge grid. The next generation of Internet-related research for the knowledge grid provides the technology and implementation platform of knowledge grid "grid" computing grid than the "grid" is broader, the grid is not the only implementation of the Knowledge Grid platform, but the knowledge Grid should absorb the concept of the grid. Knowledge of the characteristics of the grid Knowledge Grid has the following five characteristics different from other technologies. First, people can get through a single semantic entry and management of global distribution of knowledge, knowledge without having to know the specific location of the second, the global distribution of knowledge can be intelligently aggregate, and by reasoning with background knowledge needed to explain mechanisms services. One way to achieve this goal is to provide knowledge to provide meta-knowledge. unified resource management model will help to achieve the dynamic aggregation of knowledge services. Third, people or virtual roles can be mapped in a single semantic space, based on the reconstruction and abstract reasoning share knowledge and access to services, in which there is no obstacle to mutual understanding, knowledge grid will enable a more universal knowledge sharing. Fourth, knowledge of Grid should be able to globally search the knowledge needed to solve the problem, and to ensure proper closure of knowledge (ie, minimum set of complete knowledge). To achieve this goal, we need to create new knowledge organization model. Fifth, in the knowledge grid environment, storage of knowledge is not static; it can maintain constant dynamic evolution of the new, which means that the knowledge grid knowledge services in the course of evolution can continue to automatically improve.