A loosely integrated data configuration strategy for web-based participatory modeling

Participatory modeling is an important approach for solving complex geo-problems from a comprehensive and holistic viewpoint, and it brings together stakeholders from multiple disciplines to provide diverse resources, including modeling, data fields and computational assets. Data configuration work...

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Main Authors: Songshan Yue, Min Chen, Chaowei Yang, Chaoran Shen, Bowen Zhang, Yongning Wen, Guonian Lü
Format: Article
Language:English
Published: Taylor & Francis Group 2019-07-01
Series:GIScience & Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.1080/15481603.2018.1549820
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author Songshan Yue
Min Chen
Chaowei Yang
Chaoran Shen
Bowen Zhang
Yongning Wen
Guonian Lü
author_facet Songshan Yue
Min Chen
Chaowei Yang
Chaoran Shen
Bowen Zhang
Yongning Wen
Guonian Lü
author_sort Songshan Yue
collection DOAJ
description Participatory modeling is an important approach for solving complex geo-problems from a comprehensive and holistic viewpoint, and it brings together stakeholders from multiple disciplines to provide diverse resources, including modeling, data fields and computational assets. Data configuration work (e.g., preparing appropriate input data for model execution, connecting a model’s output to the input data of another model) is important for constructing and executing a participatory modeling task. Most current data configuration methods depend on the model integration logic, which presents a challenge when adding new modeling resources into a model to dynamically create and execute new modeling tasks. To support the construction of participatory modeling tasks in a web environment, this article proposes a loosely integrated data configuration strategy for decoupling data configuration work from the execution process of a participatory modeling task. A model service controller is designed for model input/output (I/O) configuration, and a data service controller is designed for data access configuration. These two controllers can help modelers link the data I/O demands of a model-service with the appropriate data-services; thus, different modeling instances can be dynamically joined to a participatory modeling task and executed without reconstructing the original data configuration settings. A prototype participatory modeling system is proposed to demonstrate the flexibility and feasibility of the proposed method using an experimental modeling case. The results show that the proposed data configuration strategy supports the integration of different model-services based on the data dependency relationships and that the complexity and difficulty in configuring data for a participatory modeling tasks in the web environment are minimized.
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spelling doaj.art-b6032d2de81e4634a942f5111d9e5a802023-09-21T12:34:15ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262019-07-0156567069810.1080/15481603.2018.15498201549820A loosely integrated data configuration strategy for web-based participatory modelingSongshan Yue0Min Chen1Chaowei Yang2Chaoran Shen3Bowen Zhang4Yongning Wen5Guonian Lü6Nanjing Normal UniversityNanjing Normal UniversityGeorge Mason UniversityNanjing Normal UniversityNanjing Normal UniversityNanjing Normal UniversityNanjing Normal UniversityParticipatory modeling is an important approach for solving complex geo-problems from a comprehensive and holistic viewpoint, and it brings together stakeholders from multiple disciplines to provide diverse resources, including modeling, data fields and computational assets. Data configuration work (e.g., preparing appropriate input data for model execution, connecting a model’s output to the input data of another model) is important for constructing and executing a participatory modeling task. Most current data configuration methods depend on the model integration logic, which presents a challenge when adding new modeling resources into a model to dynamically create and execute new modeling tasks. To support the construction of participatory modeling tasks in a web environment, this article proposes a loosely integrated data configuration strategy for decoupling data configuration work from the execution process of a participatory modeling task. A model service controller is designed for model input/output (I/O) configuration, and a data service controller is designed for data access configuration. These two controllers can help modelers link the data I/O demands of a model-service with the appropriate data-services; thus, different modeling instances can be dynamically joined to a participatory modeling task and executed without reconstructing the original data configuration settings. A prototype participatory modeling system is proposed to demonstrate the flexibility and feasibility of the proposed method using an experimental modeling case. The results show that the proposed data configuration strategy supports the integration of different model-services based on the data dependency relationships and that the complexity and difficulty in configuring data for a participatory modeling tasks in the web environment are minimized.http://dx.doi.org/10.1080/15481603.2018.1549820data configurationparticipatory modelingmodel servicedata serviceweb environment
spellingShingle Songshan Yue
Min Chen
Chaowei Yang
Chaoran Shen
Bowen Zhang
Yongning Wen
Guonian Lü
A loosely integrated data configuration strategy for web-based participatory modeling
GIScience & Remote Sensing
data configuration
participatory modeling
model service
data service
web environment
title A loosely integrated data configuration strategy for web-based participatory modeling
title_full A loosely integrated data configuration strategy for web-based participatory modeling
title_fullStr A loosely integrated data configuration strategy for web-based participatory modeling
title_full_unstemmed A loosely integrated data configuration strategy for web-based participatory modeling
title_short A loosely integrated data configuration strategy for web-based participatory modeling
title_sort loosely integrated data configuration strategy for web based participatory modeling
topic data configuration
participatory modeling
model service
data service
web environment
url http://dx.doi.org/10.1080/15481603.2018.1549820
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