C-IKNOW VIVO Recommender

The C-IKNOW VIVO Recommender is the SONIC laboratory’s recommender system for collaborations in scientific research. The C-IKNOW VIVO Recommender embraces the Multi-Theoretical, Multi-Level (MTML) framework of social drivers to model the motivations of the seeker of a recommendation. The C-IKNOW VIVO Recommender integrates social network analysis to making recommendations. The C-IKNOW VIVO Recommender utilizes Linked Open Data (LOD) as a data representation, the Apache Jena Java framework for building Semantic Web applications, and the Java Universal Network/Graph Framework (JUNG) for network analysis.

The C-IKNOW VIVO Recommender, operating in the domain of recommending collaborations among the health sciences faculty of our collaborator the University of Florida, is available online.

The C-IKNOW Semantic Recommender is a collaboration between Mike Conlon and his team at the University of Florida, David Eichmann and his team at the University of Iowa, Maryam Fazel-Zarandi, PhD candidate at the Department of Computer Science, University of Toronto, and Noshir Contractor, Anup Sawant, Yun Huang, and Hugh Devlin of the SONIC lab.


SONIC Research Group, Northwestern University.

http://sonic.northwestern.edu/software/c-iknow-vivo-recommender/