OCCAM: ontology-based computational contextual analysis and modeling

Authors:
Srini Narayanan;Katie Sievers;Steve Maiorano
Affiliations:
International Computer Science Institute and University of California, Berkeley, Berkeley, California;International Computer Science Institute and University of California, Berkeley, Berkeley, California;International Computer Science Institute and University of California, Berkeley, Berkeley, California
Venue:
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Year:
2007

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Abstract

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.