Schema Design with Intelligent Multi Modelling Edge Computing Techniques for Industrial Applications

Abstract

The Internet has become one of the most essential sources of information and knowledge for consumers. It is important to figure out how to get users' specific needs from the large number of network document resources in a precise and efficient way. Sharing information on activities that are of interest to all members of a group may be done via group suggestion. Too much data and resources are no longer a concern with this system. There has been a comprehensive testing of how big data can be used in the packaging industry. Edge computing with knowledge graphs and LSTMs shows that the proposed system provides more accurate and better suggestions for network document resources. Consequently, it is capable of meeting the individual resource requirements of each user in a more effective manner.