Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Geo-Opera: Workflow Concepts for Spatial Processes
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A survey of data provenance in e-science
ACM SIGMOD Record
Analyzing theme, space, and time: an ontology-based approach
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
The provenance of electronic data
Communications of the ACM - The psychology of security: why do good users make bad decisions?
Traveling the Semantic Web through Space, Time, and Theme
IEEE Internet Computing
Semantic Provenance for eScience: Managing the Deluge of Scientific Data
IEEE Internet Computing
Proceedings of the 2006 international conference on Provenance and Annotation of Data
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Augmenting geospatial data provenance through metadata tracking in geospatial service chaining
Computers & Geosciences
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Computers & Geosciences
Management and storage of in situ oceanographic data: An ECM-based approach
Information Systems
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GIS (Geographic Information Systems) play an important role to acquire and communicate geospatial knowledge based on spatial data and the use of spatial analysis, modeling, and visualization. The assurance of the validity and quality of spatial data handling and analysis remains a great challenge, in part, because of sophisticated procedures are often required for collaborative geospatial problem-solving and decision making. These procedures, when specified as knowledge derivation workflows, require carefully configured parameters and spatiotemporal specifications guided by specific contexts and purposes. The information of spatial data lineage and related analysis workflow is defined as spatial provenance in this research. Such information is often not well recorded or managed during spatial data handling and related analysis. This paper presents a provenance-aware GIS architecture that incorporates spatial provenance to address this shortcoming and facilitate the assurance of validity and quality of spatial data handling and analysis. Spatial provenance in this architecture is generated and managed to allow queries on data lineage and workflow information to support geospatial problem-solving. Basic elements of spatial provenance are captured using a spatial provenance model. The illustration of the provenance-aware GIS architecture and its proof-of-concept implementation reveals the similarity and difference in the use of spatial provenance in GIS applications. Overall, the architecture and implementation described in the paper demonstrates the necessity and feasibility of introducing provenance into GIS.