Research on Latent Semantic Relationship Search Engine Based on Knowledge Graph

Knowledge graph is a large database composed of entities, relationships and attributes, which can provide rich semantic information for search engines. The potential semantic relation search engine based on Knowledge graph is a novel search engine. It obtains potential semantic relationships from the Knowledge graph, and then uses these potential semantic relationships to search for data sources such as web pages and documents. This paper first analyzes the characteristics of the Knowledge graph, then lists the construction process of the Knowledge graph based on WordNet, and finally proposes the potential semantic relationship search engine architecture based on the Knowledge graph.