Title :
Adding Geospatial Data Provenance into SDI—A Service-Oriented Approach
Author :
Lianlian He ; Peng Yue ; Liping Di ; Mingda Zhang ; Lei Hu
Author_Institution :
Sch. of Math. & Stat., Wuhan Univ., Wuhan, China
Abstract :
Geospatial data provenance records the derivation history of a geospatial data product. It is important in evaluating the quality of data products. In a Geospatial Web Service environment where data are often disseminated and processed widely and frequently in an unpredictable way, it is even more important in identifying original data sources, tracing workflows, updating or reproducing scientific results, and evaluating reliability and quality of geospatial data products. Geospatial data provenance has become a fundamental issue in establishing the spatial data infrastructure (SDI). This paper investigates how to support provenance awareness in SDI. It addresses key issues including provenance modeling, capturing, and sharing in a SDI enabled by interoperable geospatial services. A reference architecture for provenance tracking is proposed, which can accommodate geospatial feature provenance at different levels of granularity. Open standards from ISO, World Wide Web Consortium (W3C), and OGC are leveraged to facilitate the interoperability. At the feature type 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, light-weight lineage information 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.
Keywords :
ISO standards; Web services; XML; cataloguing; data analysis; feature extraction; geophysics computing; information dissemination; open systems; product quality; service-oriented architecture; ISO; ISO 19115 lineage; OGC; Open standards; SDI; W3C; W3C PROV- XML; Web feature services; World Wide Web Consortium; data dissemination; feature instance level; feature type level; geospatial Web service; geospatial catalog service; geospatial data product quality; geospatial data provenance; interoperable geospatial service-oriented approach; lightweight lineage information entities; parent level provenance registration; provenance awareness; provenance modeling; provenance tracking; spatial data infrastructure; Catalogs; Geospatial analysis; ISO standards; Interoperability; Remote sensing; Web services; Geoprocessing workflow; Geospatial Web Service; ISO 19115 lineage; World Wide Web Consortium (W3C) PROV; geospatial data provenance; spatial data infrastructure;
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
DOI :
10.1109/JSTARS.2014.2340737