论文标题
用PeopleMap绘制研究人员
Mapping Researchers with PeopleMap
论文作者
论文摘要
在大学中发现研究专业知识可能是一项艰巨的任务。目录通常过时了，很少有帮助可以直观地总结研究人员的工作或支持研究人员之间共同利益的探索。这导致内部和外部实体都失去了发现新联系，培养研究合作并探索研究多样性的机会。为了解决这个问题，在佐治亚理工学院，我们一直在开发PeopleMap，这是一种基于自然语言处理（NLP）的开源互动网络工具，该工具根据研究兴趣和出版物为研究人员创建视觉地图。 PeopleMap仅要求研究人员的Google Scholar概况作为输入，可以为研究人员生成并形象化嵌入，从而大大减少了对出版信息的手动策划的需求。为了鼓励和促进PeopleMap的易于采用和扩展，我们在https://github.com/poloclub/people-map上开放了MIT许可证。 PeopleMap获得了积极的反馈和热情，以扩大佐治亚理工学院的采用。
Discovering research expertise at universities can be a difficult task. Directories routinely become outdated, and few help in visually summarizing researchers' work or supporting the exploration of shared interests among researchers. This results in lost opportunities for both internal and external entities to discover new connections, nurture research collaboration, and explore the diversity of research. To address this problem, at Georgia Tech, we have been developing PeopleMap, an open-source interactive web-based tool that uses natural language processing (NLP) to create visual maps for researchers based on their research interests and publications. Requiring only the researchers' Google Scholar profiles as input, PeopleMap generates and visualizes embeddings for the researchers, significantly reducing the need for manual curation of publication information. To encourage and facilitate easy adoption and extension of PeopleMap, we have open-sourced it under the permissive MIT license at https://github.com/poloclub/people-map. PeopleMap has received positive feedback and enthusiasm for expanding its adoption across Georgia Tech.
