Meta-knowledge is a piece of data that describes the knowledge in the world of AI. It is not specific to any single domain but aims to describe the structure of the data present in the knowledge systems. The main usage of meta-knowledge is to understand and improve the nature of user interface components and to maintain the knowledge bases that are used alongside inference engines as well. With the increasing complexity of problems around us, it can be said that extensive use of meta-knowledge will be seen in the becoming days. In a system, there are many things that are crucial for the autonomous operations to run smoothly such as control systems, support subsystems, and the architecture as well. Implementation of metaknowledge helps in the inter-domain communication of modules that work hand-in-hand to solve the problems as well.
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