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001 978-1-4614-6809-7
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008 130419s2013 xxu| s |||| 0|eng d
020 _a9781461468097
_9978-1-4614-6809-7
024 7 _a10.1007/978-1-4614-6809-7
_2doi
050 4 _aQA75.5-76.95
072 7 _aUT
_2bicssc
072 7 _aCOM069000
_2bisacsh
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
100 1 _aYue, Peng.
_eauthor.
245 1 0 _aSemantic Web-based Intelligent Geospatial Web Services
_h[electronic resource] /
_cby Peng Yue.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aVIII, 111 p. 42 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- Geospatial Web Service -- Geospatial Semantic Web -- Automatic Service Composition -- Semantics for Geospatial Data and Services -- Semantics-enabled Geospatial Data and Services Discovery -- Automatic Composition of Geospatial Web Service -- Prototype Implementation and Result Analysis -- Conclusions.
520 _aBy 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.
650 0 _aComputer science.
650 0 _aComputer organization.
650 0 _aComputers.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aGeographical information systems.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aGeographical Information Systems/Cartography.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aComputer Systems Organization and Communication Networks.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461468080
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-6809-7
912 _aZDB-2-SCS
942 _cEBK
999 _c57676
_d57676