Abstract: Academic big data can provide help on information to researchers. While traditional academic search engines only offer search results without analysis, academic map is proposed based on AceMap, visualizing academic information to users in form of graph with various types of designed maps. When SQL-based database is not capable for generating customized academic map, AceKG is proposed to store data in form of triplets. AceKG can help realize the heterogeneous and customized map generator and can generate correlation map for any type of entity after embedding. Through the visualization of academic data, users are able to find points of interest more intuitively, thus improves the practicality of academic platform.

Key words: academic map, data visualization, knowledge graph