Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 121-125, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
25 Oct 2013
Restful Implementation of Catalogue Service for Geospatial Data Provenance
L. C. Jiang, P. Yue, and X. C. Lu State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China
Keywords: REST, Catalogue Service, Data Provenance, Geospatial Service, RESTful Web Service Abstract. Provenance, also known as lineage, is important in understanding the derivation history of data products. Geospatial data provenance helps data consumers to evaluate the quality and reliability of geospatial data. In a service-oriented environment, where data are often consumed or produced by distributed services, provenance could be managed by following the same service-oriented paradigm. The Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) is used for the registration and query of geospatial data provenance by extending ebXML Registry Information Model (ebRIM). Recent advance of the REpresentational State Transfer (REST) paradigm has shown great promise for the easy integration of distributed resources. RESTful Web Service aims to provide a standard way for Web clients to communicate with servers based on REST principles. The existing approach for provenance catalogue service could be improved by adopting the RESTful design. This paper presents the design and implementation of a catalogue service for geospatial data provenance following RESTful architecture style. A middleware named REST Converter is added on the top of the legacy catalogue service to support a RESTful style interface. The REST Converter is composed of a resource request dispatcher and six resource handlers. A prototype service is developed to demonstrate the applicability of the approach.
Conference paper (PDF, 644 KB)

Citation: Jiang, L. C., Yue, P., and Lu, X. C.: Restful Implementation of Catalogue Service for Geospatial Data Provenance, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 121-125,, 2013.

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