NDLI: A geospatial service composition method based on temporal correlation

Content Provider	IEEE Xplore Digital Library
Author	Lian Duan Xinyan Zhu Wenwen Tian Tao Hu Liuyuan Chen
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China (Lian Duan; Xinyan Zhu; Wenwen Tian; Tao Hu; Liuyuan Chen)
Abstract	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.
Starting Page	1
Ending Page	6
File Size	237482
Page Count	6
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5980901
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Service oriented architecture Vegetation Case-based reasoning Geospatial service Cognition OGC Service composition Geospatial analysis Indexes Temporal service
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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