Paper/Poster/Presentation Title

A Study on Data Processing Services for Operation of Geo-Analysis Models in the Open Web Environment

Keywords

Geo-analysis model, Model integration, Data processing service, Data preparation, Data processing

Start Date

27-6-2018 2:00 PM

End Date

27-6-2018 3:20 PM

Abstract

With the development of network technology, the study of integrated modeling frameworks based on web services is becoming a key topic to contribute to solving complex geographic problems. To date, large numbers of geo-analysis models and massive data resources are available in the open web environment. Accessing, acquiring or invoking individual resources transparently is relatively straightforward; however, combining these models and data resources together for comprehensive simulations still remains challenging due to their heterogeneity and diversity. Data resources are the driving force of model execution, and they can serve as an intermediate linkage medium for model integration. However, in most cases, the data resources cannot be used directly to drive or link models. To enable the convenient coupling of models and data resources through the web, thus reducing the difficulty of preparing data and avoiding repetitive data processing work, data processing services that can prepare and process data are urgently needed in the web environment. Based on the proposed Universal Data eXchange (UDX) model, three types of data processing methods that can realize mapping, refactoring, and visualization were designed in this research. These methods can be published as data processing services to facilitate the operation of geo-analysis models through the web environment. The applicability of the proposed data processing services is examined using two cases: data preparation using processing services for the WATLAC model is designed in the first case, and the application of the processing service in model integration through the web is designed in the second case. The results demonstrate that the proposed processing services can bridge the gap between geo-analysis models and data resources hosted on networks.

Stream and Session

A2: Open Socio-environmental Modelling and Simulation

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Jun 27th, 2:00 PM Jun 27th, 3:20 PM

A Study on Data Processing Services for Operation of Geo-Analysis Models in the Open Web Environment

With the development of network technology, the study of integrated modeling frameworks based on web services is becoming a key topic to contribute to solving complex geographic problems. To date, large numbers of geo-analysis models and massive data resources are available in the open web environment. Accessing, acquiring or invoking individual resources transparently is relatively straightforward; however, combining these models and data resources together for comprehensive simulations still remains challenging due to their heterogeneity and diversity. Data resources are the driving force of model execution, and they can serve as an intermediate linkage medium for model integration. However, in most cases, the data resources cannot be used directly to drive or link models. To enable the convenient coupling of models and data resources through the web, thus reducing the difficulty of preparing data and avoiding repetitive data processing work, data processing services that can prepare and process data are urgently needed in the web environment. Based on the proposed Universal Data eXchange (UDX) model, three types of data processing methods that can realize mapping, refactoring, and visualization were designed in this research. These methods can be published as data processing services to facilitate the operation of geo-analysis models through the web environment. The applicability of the proposed data processing services is examined using two cases: data preparation using processing services for the WATLAC model is designed in the first case, and the application of the processing service in model integration through the web is designed in the second case. The results demonstrate that the proposed processing services can bridge the gap between geo-analysis models and data resources hosted on networks.