Title: Institutional Knowledge Maps project at the University of Arizona
Abstract:
The Institutional Knowledge Map (KMAP https://kmap.arizona.edu/) is a software platform for providing succinct and interpretable views of enterprise-wide expertise and knowledge portfolios for any organization. The platform utilizes advanced machine learning (ML) techniques for synthesizing structured and unstructured data such as publications, proposals, bio-sketches, social media and web presence for individuals in an organization, to construct a multi-dimensional institutional collaboration and knowledge graph. The resultant knowledge graph is readily interpretable and lends itself for data exploration with its advanced web-based visualization techniques that transform the graph relationships into geographical constructs (maps), highlighting clusters of novel expertise and collaborative activities that are hard to discover. Using advanced NLP (Natural Language Processing) techniques, it can identify potential collaborators and subject matter experts given text input such as calls for proposals. KMAP can be used to build transdisciplinary teams, identify subject matter experts, and elucidate complex relationships within large, diverse, and geographically distributed organizations such as UArizona.
Speaker:
Lori Schultz
University of Arizona
Date/Time: August 20, 2021, 2:00PM MST (Arizona), 5:00PM EDT
Video:https://www.youtube.com/watch?v=dvq2KDvEnyw&ab_channel=HigherEducationAnalytics