Multi-Reasoner Framework to Support Situation Analysis and Context Awareness

Alexandre Bergeron Guyard

Keywords

Automated Reasoning, CaseBased Reasoning, RuleBased Reasoning, Description Logic, Ontology

Abstract

This paper describes an ongoing research effort that aims at supporting Canadian Forces' Intelligence Analysts conducting Intelligence Preparation of the Operational Environment (IPOE). The IPOE is a complex process which involves taking into account information from multiple sources and applying complex cognitive processes in order to describe a situation, identify potential threats, and determine threats' courses of action. Currently, analysts performing IPOE often find themselves overwhelmed by the amount of information they have to ingest and analyse. This paper proposes a multi-reasoner approach that helps the analyst overcome this information and cognitive overload problem. It also discusses an approach to support the analyst in a context aware fashion, which not only factors in the analysis problem, but also the elements representing the analyst's task, role, location, environment, identity, and time.

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