Argumentation systems can be employed for detecting spatiotemporal patterns. While the idea of argumentation consists in defending specific positions, complex patterns are influenced by several factors that can be regarded as arguments against or in favor of the realisation of those patterns. The idea is to determine consistent positions of arguments which speak for specific patterns. This becomes possible by means of algorithms which have been defined for argumentation systems. The introduced method of conceptual argumentation is new in comparison to classical, i.e. value-based, argumentation systems. It has the advantage to be more flexible by enabling the definition of conceptual arguments influencing relevant patterns. There are two main results: first, conceptual argumentation frameworks do scale significantly better; secondly, investigating our approach by examining soccer games, we show that specific patterns, such as passes, can be detected with different retrieval performances depending on the chosen spatial granularity level.
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