Temporal reasoning based on semi-intervals
Artificial Intelligence
The algorithm design manual
Maintaining knowledge about temporal intervals
Communications of the ACM
Spatial Cognition and Computation
A Framework for Constructing Temporal Models from Texts
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Linear Temporal Sequences and Their Interpretation Using Midpoint Relationships
IEEE Transactions on Knowledge and Data Engineering
Generating linear orders of text-based events
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Connecting the dots: constructing spatiotemporal episodes from events schemas
Transactions on Computational Science VI
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Complex scenarios of events occurring in dynamic geospatial domains can be simplified or summarized in the form of linear orders. Sets of possible linear orders of events can be automatically generated based on the temporal relations that hold between events and refined further according to the particular semantics associated with the temporal relations. This paper discusses how the spatial aspects of events contribute to generating plausible linear orders of events. Locations of events, for example, are useful for determining the spatial relevance of events in an order. In addition, we explore how the presence of certain patterns of event locations can be used for further filtering, this time pruning improbable orders from the set of possible orders. The result is a methodology for automatically generating linear orders of events from partial orders that exploits the spatial and temporal relationships associated with events occurring in geospatial domains.