OCCAM: Ontology-Based Computational Contextual Analysis and Modeling

The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, organizational, political levels). We present initial results from a novel computational framework, Coordinated Probabilistic Relational Models (CPRM), that can potentially model the combined impact of multiple contextual information sources for analysis and prediction.

• Type: Conference
• Year: 2007
• Where: CONTEXT
• Authors: Srini Narayanan, Katie Sievers, Steven J. Maiorano
• Keywords: CONTEXT 2007, Contextual Information, Information Management, Multiple Contextual Information, Probabilistic Relational Models