A Rule-Based System for Contextualized Information Delivery
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Abstract
When carrying out tasks, police officers need up-to-date information contextualized to their current situation to support them in decision making. The results of a previous user study with the aim of capturing the information requirements of police officers have led to the implementation of a rule-based system for contextualized information delivery. In this paper, we present the overall system and discuss how the various sources of information are modelled using ontologies. Our focus is on the formalism for expressing the rules and the engine executing those rules to decide which information is relevant for specific users. These declarative rules can be modified independently of the code executing them, thus providing a principled way to adapt the system to new domains. Quantitative evaluations on scenarios constructed in cooperation with police officers show that precision and recall levels of our system are satisfactory compared to other systems and that our system can be adapted to new scenarios with reasonable efforts.