Ontology based integration and decision support in the INSIGMA route planning subsystem

The route planning subsystem is an important component of the Intelligent System for Global Monitoring Detection and Identification of Threats (INSIGMA). Its goal is to calculate an optimal route taking into consideration contextual information and values of dynamically updated parameters describing the current traffic. Developing the system we have taken an approach consisting in providing a set of simpler route planning algorithms that can be used in various situations instead a single all purpose procedure. A key issue encountered during the system development was the correct choice and configuration of algorithm to be used. The selection depends on such factors, as: user profile and preferences, dynamically collected traffic data and historical records. In the developed system the knowledge about these factors, their relations and rules is gathered in ontologies. The paper presents the system architecture and an execution scenario, in which the decision on selection and configuration of one of the several implemented route planning algorithms is based on semantic information and build in rules.