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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
By introducing Semantic Web technologies into geospatial Web services, this book addresses the semantic description of geospatial data and standards-based Web services, discovery of geospatial data and services, and generation of composite services. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered in geospatial catalogue services. The ontology-based approach helps to improve the recall and precision of data and services discovery. Semantics-enabled metadata tracking and satisfaction allows analysts to focus on the generation of a geospatial process model rather than spending large amounts of time in data preparation. “DataType”-driven service composition and path planning can help to automate a range of knowledge discovery processes in a limited geospatial domain. Process planning facilitates the construction of complex services and models for geocomputation. A three-phase procedure to cover the lifecycle of service chaining and to identify the roles of the methods involved is proposed. It includes process modeling, process model instantiation, and workflow execution. The approach is implemented in a prototype system with use cases to demonstrate applicability.
The objective of the research is to develop the key technologies for an intelligent geospatial knowledge system based on Web services to automate the data discovery and data preprocessing steps in the distributed Web service environment, to automate a range of knowledge discovery processes in a limited geospatial domain, using the automated construction and execution of service chains, and to facilitate the construction of complex services and models for geocomputation.Authors and Affiliations
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, LIESMARS, Wuhan University, Wuhan, China, People's Republic
Peng Yue
Bibliographic Information
Book Title: Semantic Web-based Intelligent Geospatial Web Services
Authors: Peng Yue
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4614-6809-7
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-1-4614-6808-0Published: 19 April 2013
eBook ISBN: 978-1-4614-6809-7Published: 18 April 2013
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: VIII, 111
Number of Illustrations: 42 b/w illustrations
Topics: Information Systems and Communication Service, Geographical Information Systems/Cartography, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Systems Organization and Communication Networks