C-IKNOW Semantic Recommender

The C-IKNOW Semantic Recommender is the SONIC laboratory’s next-generation recommender system, based on semantic web-related technologies. The C-IKNOW Semantic Recommender embraces the Multi-Theoretical, Multi-Level (MTML) framework of social drivers to capture the motivations of the seeker of a recommendation. The C-IKNOW Semantic Recommender integrates social network analysis and automated reasoning approaches to making recommendations. The C-IKNOW Semantic Recommender utilizes Resource Description Framework (RDF) as a representation for instance data, Web Ontology Language (OWL) as a representation for the domain ontology, the Java Universal Network/Graph Framework (JUNG) for network analysis, and the Pellet reasoning engine.

The C-IKNOW Semantic Recommender is a collaboration with Maryam Fazel-Zarandi, PhD candidate at the Department of Computer Science, University of Toronto, and Noshir Contractor, Yun Huang, Hugh Devlin and Chuang Zhang of the SONIC lab.

SONIC Research Group, Northwestern University.

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