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Abstract. Systems supporting situation awareness in large-scale control systems, such as, e. g., encountered in the domain of road traffic management, pursue the vision of allowing human operators prevent critical situations. Recently, approaches have been proposed, which express situations, their constituting objects, and the relations in-between (e. g., road works causing a traffic jam), by means of domain-independent ontologies, allowing automatic prediction of future situations on basis of relation derivation. The resulting vast search space, however, could lead to unacceptable runtime performance and limited expressiveness of predictions. In this paper, we argue that both issues can be remedied by taking inherent characteristics of objects into account. For this, an ontology is proposed together with optimization rules, allowing to exploit such characteristics for optimizing predictions. A case study in the domain of road traffic management reveals that search space can be substantially reduced for many real-world situation evolutions, and thereby demonstrates the applicability of our approach.

Abstract. Systems supporting situation awareness typically deal with a vast stream of information about a large number of real-world objects anchored in time and space provided by multiple sources. These sources are often characterized by frequent updates, heterogeneous formats and most crucial, identical, incomplete and often even contradictory information. In this respect, duplicate detection methods are of paramount importance allowing to explore whether or not information having, e. g., different origins or different observation times concern one and the same real-world object. Although many such duplicate detection methods have been proposed in literature-each of them having different origins, pursuing different goals and often, by nature, being heavily domain-specific-the unique characteristics of situation awareness and their implications on the method's applicability were not the focus up to now. This paper examines existing duplicate detection methods appearing to be suitable in the area of situation awareness and identifies their strengths and shortcomings. As a prerequisite, based on a motivating case study in the domain of road traffic management, an evaluation framework is suggested, which categorizes the major requirements on duplicate detection methods with regard to situation awareness.

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