Research on Construction Method of IoT Knowledge System Based on Knowledge Graph

Abstract

This research aims to deconstruct and reconstruct professional knowledge in the field of the Internet of Things (IoT), and extract and organize it into a hierarchical tree network structure based on knowledge points, in order to summarize and divide the entire IoT knowledge system and help learners or other individuals studying IoT-related knowledge to have a simple and easy-to-understand system to remove some learning obstacles. First, we design the architecture of an IoT knowledge system based on a knowledge graph, including knowledge dimension, knowledge association, knowledge expression, and knowledge storage. To enhance the knowledge system, we design crowdsourcing expansion methods, including role division, crowdsourcing process, and credibility and expertise mechanisms. Finally, we develop a system prototype and complete basic functions based on this foundation.