A Web-based geo-simulation approach integrating knowledge graph and model-services. (October 2021)

• Record Type: Journal Article
• Authors: Li, Heng; Zhang, Chunxiao; Xiao, Ziwei; Chen, Min; Lu, Dequan; Liu, Shuhui
• Is Part Of: Environmental modelling & software. Volume 144(2021)
• Publication Date: 2021-10
• Subjects: Web-based geographic simulation -- Geographic simulation knowledge -- Knowledge graph -- Model-services -- Storm water management model(SWMM); Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.105160
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Geographic models are becoming key methods for geographic environment research. In addition to the progress in model sharing and reusing, geographic simulation (geo-simulation) knowledge sharing and application are increasingly attracting much attention. This study aims to provide both models and geo-simulation knowledge simultaneously to support Web-based simulation. Firstly, we propose a geo-simulation approach consisting of three modules concerning data, model and knowledge with a conceptual framework. Secondly, taking the Storm Water Management Model as instance, a Web-based prototype system is implemented with geo-simulation knowledge graph constructed based on literatures using bilateral long shortterm memory - conditional random field (BiLSTM - CRF). Thirdly, application of the system in Nanchong, China is conducted with user experiences analysis. The results demonstrate that the proposed approach can effectively provide geo-simulation knowledge. Moreover, it can alleviate the difficulty of the geographic simulation process for diverse modelers, and further improve the use of the model simultaneously. Highlights: An innovative geo-simulation approach integrating knowledge graph with model-services is proposed. A Web-based prototype system was established to verify the approach. The geo-simulation knowledge was successfully applied in urban stormwater management with SWMM. The approach can effectively promote the sharing and application of geo-simulation models and knowledge.