A geospatial service composition method based on temporal correlation

With the emergence of technologies and standards supporting the development of spatial web services, more and more services are becoming available on the Internet. In this paper, aiming at the automatic service composition of spatial information processing service, a temporal correlation based processing service composition method was presents. The temporal-correlation spatial data are integrated for the temporal - spatial analysis service by the procedure of searching spatial information service which provides the same extent of spatial data with different temporal-series. We adopt a semantic temporal approach to uniform the temporal property of spatial data brought by different spatial information services for the consistency in temporal analysis service. Moreover, the technology of case-based reasoning is employed to improve the intelligence of service searching. These issues are illustrated with an example - calculation of the changing vegetation coverage rates across multiple temporal-series.