Formal Concept Analysis Applied in Knowledge Network: A Survey

With the rapid iterative development of artificial intelligence (AI) technologies, knowledge network is one of the core ways to express massive information, and the requirements of semantic analysis and knowledge mining of it are becoming more and more important. As a mathematical tool based on lattice theory, Formal Concept Analysis (FCA) has gradually attracted the attention of AI researchers in recent years because of its advantages of convenient modeling, strong interpretability and deep network node characteristics mining. As the summary of FCA’s research works on knowledge network is lagging, we present a survey that first focuses on the research works of FCA for knowledge networks. We systematically summarize the existing methods from knowledge graph, social networks, semantic representations, machine learning and data mining. Finally, we give an outlook on the future directions of FCA applied in the knowledge network.