Addressing the challenges of managing the surge in scientific literature, AceMap offers an innovative academic system for knowledge discovery. It encompasses a massive database and employs cutting-edge visualization techniques to shed light on collaborative and conceptual relationships in academia.

• Builds a multifaceted database encompassing textual, visual, and numerical information
• Introduces nebular graphs for large-scale academic network visualization
• Proposes a structural entropy-based metric to quantify academic entity knowledge
• Offers tools to trace idea evolution and generate new concepts across fields

Importance & Future Research: AceMap exemplifies a progressive academic search engine that transcends traditional search paradigms, presenting a 360-view of the scholarly world. Its focus on visual and quantitative analysis can enhance our grasp of academic collaboration and intellectual development. By incorporating machine reading and potentially large language models, AceMap could further revolutionize our approach to navigating and synthesizing academic knowledge. For a deeper exploration, visit AceMap or find the full paper here.