Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11556114_21 | COSIT |
Keywords | Field | DocType |
ordering event,dynamic geospatial domain,temporal relationship,geospatial domain,possible order,temporal relation,plausible linear order,spatial aspect,linear order,possible linear order,spatial relevance,partial order | Geospatial analysis,Ordered set,Data mining,Linear form,Computer science,Algorithm,Spatial cognition,Geospatial predictive modeling,Filter (signal processing),Semantics | Conference |
Volume | ISSN | ISBN |
3693 | 0302-9743 | 3-540-28964-X |
Citations | PageRank | References |
3 | 0.38 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suzannah Hall | 1 | 3 | 0.38 |
| Kathleen Hornsby | 2 | 434 | 83.61 |