资 源 简 介
Earth and Space Science Informatics (ESSI) is inherently multi-disciplinary, requiring close collaborations between scientists and information technologists. Identifying potential collaborations can be difficult, especially with the rapidly changing landscape of technologies and informatics projects. The ability to discover the technical competencies of other researchers in the community can help in the discovery of collaborations. In addition to collaboration discovery, social network information can be used to analyze trends in the field, which will help project managers identify irrelevant, well-established, and emerging technologies and specifications. This information will help keep projects focused on the technologies and standards that are actually being used, making them more useful to the ESSI community.
This project is aimed at developing a code base to address these challenges. We use a Natural Language Processing technique, Named Entity Disambiguation, to extract
