Provenance in GIServices

A Semantic Web Approach

Bibliographic Data

ID22034296
AuthorsZhaoyan Wu (0000-0001-5639-0317, Wuhan University), Hao Li (0000-0001-5192-5458, Wuhan University), Peng Yue (0000-0002-9422-4595, Wuhan University, corresponding author)
Year2023
Volume12
Issue3
Pages118
Publication date2023-03-09
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi12030118
OpenAlexW4323664434
LanguageEN
References cited25

Recent developments in Web Service and Semantic Web technologies have shown great promise for the automatic chaining of geographic information services (GIService), which can derive user-specific information and knowledge from large volumes of data in the distributed information infrastructure. In order for users to have an informed understanding of products generated automatically by distributed GIServices, provenance information must be provided to them. This paper describes a three-level conceptual view of provenance: the automatic capture of provenance in the semantic execution engine; the query and inference of provenance. The view adapts well to the three-phase procedure for automatic GIService composition and can increase understanding of the derivation history of geospatial data products. Provenance capture in the semantic execution engine fits well with the Semantic Web environment. Geospatial metadata is tracked during execution to augment provenance. A prototype system is implemented to illustrate the applicability of the approach

Chaining · Database · Geospatial analysis · Information retrieval · Metadata · Ontology · Provenance · Semantic Web · Semantic Web Stack · Social Semantic Web · World Wide Web · Computer Science · Scientific Computing and Data Management · Semantic Web and Ontologies · Service-Oriented Architecture and Web Services

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Open DOIOpen Access