Abstract
In many real-world applications, temporal information is often imprecise about the temporal location of events (indeterminacy) and comes at different granularities. Formalisms for reasoning about events and change, such as the Event Calculus (EC) and the Situation Calculus, do not usually provide mechanisms for handling such data, and very little research has been devoted to the goal of extending them with these capabilities. In this paper, we propose TGIC (Temporal Granularity and Indeterminacy event Calculus), an approach to represent events with imprecise location and to deal with them on different timelines, based on the EC ontology.
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Chittaro, L., Combi, C. (1999). Reasoning about Events with Imprecise Location and Multiple Granularities. In: Bench-Capon, T.J., Soda, G., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1999. Lecture Notes in Computer Science, vol 1677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48309-8_95
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DOI: https://doi.org/10.1007/3-540-48309-8_95
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