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Adding Geospatial Data Provenance into SDI—A Service-Oriented Approach

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PROJECT TITLE :

Adding Geospatial Data Provenance into SDI—A Service-Oriented Approach

ABSTRACT:

Geospatial data provenance records the derivation history of a geospatial data product. It's necessary in evaluating the standard of knowledge product. In a Geospatial Web Service environment where information are often disseminated and processed widely and regularly in random method, it's even additional vital in identifying original knowledge sources, tracing workflows, updating or reproducing scientific results, and evaluating reliability and quality of geospatial information products. Geospatial knowledge provenance has become a fundamental issue in establishing the spatial knowledge infrastructure (SDI). This paper investigates how to support provenance awareness in SDI. It addresses key issues together with provenance modeling, capturing, and sharing in an exceedingly SDI enabled by interoperable geospatial services. A reference architecture for provenance tracking is proposed, which can accommodate geospatial feature provenance at totally different levels of granularity. Open standards from ISO, World Wide Web Consortium (W3C), and OGC are leveraged to facilitate the interoperability. At the feature sort level, this paper proposes extensions of W3C PROV-XML for ISO 19115 lineage and “Parent Level” provenance registration in the geospatial catalog service. At the feature instance level, lightweight-weight lineage data entities for feature provenance are proposed and managed by Web Feature Services. Experiments demonstrate the applicability of the approach for creating provenance awareness in an interoperable geospatial service-oriented environment.


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Adding Geospatial Data Provenance into SDI—A Service-Oriented Approach - 4.8 out of 5 based on 49 votes

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