Abstract
To understand and solve various natural environmental problems, geoscience research activities are becoming increasingly dependent on the integration of knowledge, data, and algorithms from scientists at different institutes and with multiple perspectives. However, the facilitation of these integrations remains a challenge because such scientific activities require gathering numerous geoscience researchers to provide data, knowledge, algorithms, and tools from different institutes and geographically distributed locations. The pivotal issue that needs to be addressed is the identification of a method to effectively combine geoscience algorithms in a distributed environment to promote cooperation. To address this issue, in this paper, a scheme for building a distributed geoscience algorithm integration based on the Open Geospatial Consortium web service (OWS) specifications is proposed. The architecture of the geoscience algorithm integration, algorithm service management mechanism, XML description method for algorithm integration, and integrated model execution strategy are designed and implemented. The experiment implements the integration of geoscience algorithms in a distributed cloud environment and evaluates the feasibility and efficiency of the integrated geoscience model. The proposed method provides a theoretical basis and practical guidance for promoting the integration of distributed geoscience algorithms; this approach can help to aggregate the distributed geoscience capabilities to address natural challenges.
Highlights
With the development of large and global geographical environment problems, fully and effectively coordinating globally distributed domain experts and fully utilizing distributed knowledge, algorithms, data and technology to address increasingly serious regional and even global problems is a key problem that Open Science is trying to solve
To improve the ability to share distributed geoscience algorithms and promote the integration of distributed algorithm services for various geospatial analysis and decision-making applications, this paper proposes a distributed geoscience algorithm integration scheme that is based on the Open Geospatial Consortium web service (OWS) standards
To overcome the defects of geoscience analysis and decision-making models in the local area network environment and the heterogeneous implementation of algorithms, this paper provides a method for geoscience algorithm integration in a distributed environment
Summary
The integration of distributed geoscience algorithms that are based on standard specifications can provide strong support for the implementation of such applications. Via the integration of distributed geoscience algorithms, the applications of spatial and temporal analysis, decision support, and simulated predictions to solving large-scale and global geoscience problems can be improved. To improve the ability to share distributed geoscience algorithms and promote the integration of distributed algorithm services for various geospatial analysis and decision-making applications, this paper proposes a distributed geoscience algorithm integration scheme that is based on the OWS standards. This paper has significant importance to Open Science, and the proposed method contributes to the realization of Open Science by sharing, finding, reusing, and integrating the heterogeneous geoscience data and algorithms in the distributed environment. Via utilizing the OWS standard specifications, the proposed method can foster the diffusion of geospatial knowledge, which is crucial to the cooperation between the experts and organizations in the geoscience community or even cross-disciplinary communities
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