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GeoInformatica

, Volume 15, Issue 2, pp 273–303 | Cite as

Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure

  • Peng YueEmail author
  • Jianya Gong
  • Liping Di
  • Lianlian He
  • Yaxing Wei
Article

Abstract

A geospatial catalogue service provides a network-based meta-information repository and interface for advertising and discovering shared geospatial data and services. Descriptive information (i.e., metadata) for geospatial data and services is structured and organized in catalogue services. The approaches currently available for searching and using that information are often inadequate. Semantic Web technologies show promise for better discovery methods by exploiting the underlying semantics. Such development needs special attention from the Cyberinfrastructure perspective, so that the traditional focus on discovery of and access to geospatial data can be expanded to support the increased demand for processing of geospatial information and discovery of knowledge. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered through extending elements in the ebXML Registry Information Model (ebRIM) of a geospatial catalogue service, which follows the interface specifications of the Open Geospatial Consortium (OGC) Catalogue Services for the Web (CSW). The process models for geoprocessing service chains, as a type of geospatial knowledge, are captured, registered, and discoverable. Semantics-enhanced discovery for geospatial data, services/service chains, and process models is described. Semantic search middleware that can support virtual data product materialization is developed for the geospatial catalogue service. The creation of such a semantics-enhanced geospatial catalogue service is important in meeting the demands for geospatial information discovery and analysis in Cyberinfrastructure.

Keywords

CSW ebRIM Semantic Cyberinfrastructure Service chain Geoprocessing workflow 

Notes

Acknowledgements

We are grateful to the four anonymous reviewers, and to Dr. Barry Schlesinger for their detailed comments that helped improve the quality of the paper. This work was funded fully or partially by U.S. NGA NURI program (HM1582-04-1-2021), Project 40801153 supported by NSFC, 863 Program of China (2007AA120501, 2007AA12Z214), LIESMARS and SKLSE (Wuhan University) Special Research Funding.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Peng Yue
    • 1
    Email author
  • Jianya Gong
    • 1
  • Liping Di
    • 2
  • Lianlian He
    • 3
  • Yaxing Wei
    • 4
  1. 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote SensingWuhan UniversityWuhanChina
  2. 2.Center for Spatial Information Science and Systems (CSISS)George Mason UniversityGreenbeltUSA
  3. 3.Department of MathematicsHubei University of EducationWuhanChina
  4. 4.Environmental Sciences DivisionOak Ridge National LaboratoryOak RidgeUSA

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