A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and Workflow

For the complex semantic features of objects in a geological map, maintaining a hierarchy between different geological objects is a big challenge when automatically generalizing the geological map. The typical methods focus on automation of geological map generalization or pay more attention to the...

Full description

Bibliographic Details
Main Authors: Junqiang Zhang, Chonglong Wu, Lizhe Wang
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7579553/
_version_ 1819120199193853952
author Junqiang Zhang
Chonglong Wu
Lizhe Wang
author_facet Junqiang Zhang
Chonglong Wu
Lizhe Wang
author_sort Junqiang Zhang
collection DOAJ
description For the complex semantic features of objects in a geological map, maintaining a hierarchy between different geological objects is a big challenge when automatically generalizing the geological map. The typical methods focus on automation of geological map generalization or pay more attention to the hierarchical relation between geological objects, which reduces the accuracy of the geological map generalization result. Therefore, a conceptual framework that focuses on both the automated process and the geological objects is particularly important in developing an efficient software designed for automated generalization of geological maps. In this paper, we design a compound conceptual framework for automated generalization of geological maps based on multiple agents and workflow. In this framework, the process is divided into three stages: structure analysis, map generalization, and style standardization. The map objects in the source geological map are abstracted as diverse agents with different properties and behaviors, and the agents can communicate with each other when they are activated. Thus, the relationship of the map objects is coordinated in geological map generalization, avoiding the conflict between the different operation levels. The workflow technology is used to manage the automated process. We discuss the task, modeling method, and specific operation in every stage based on the current conceptual framework and the characteristics of a geological map. Finally, we use a simple geological map for experimental studies that verify the proposed conceptual framework. The result shows that it is advantageous to design the software for automated generalization of geological maps based on the proposed compound conceptual framework.
first_indexed 2024-12-22T06:16:52Z
format Article
id doaj.art-0e1e81f8351745f184b55c336b34f459
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-12-22T06:16:52Z
publishDate 2016-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-0e1e81f8351745f184b55c336b34f4592022-12-21T18:36:04ZengIEEEIEEE Access2169-35362016-01-0146374638510.1109/ACCESS.2016.25942597579553A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and WorkflowJunqiang Zhang0Chonglong Wu1Lizhe Wang2Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, ChinaSchool of Computer Science, China University of Geosciences, Wuhan, ChinaChinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, ChinaFor the complex semantic features of objects in a geological map, maintaining a hierarchy between different geological objects is a big challenge when automatically generalizing the geological map. The typical methods focus on automation of geological map generalization or pay more attention to the hierarchical relation between geological objects, which reduces the accuracy of the geological map generalization result. Therefore, a conceptual framework that focuses on both the automated process and the geological objects is particularly important in developing an efficient software designed for automated generalization of geological maps. In this paper, we design a compound conceptual framework for automated generalization of geological maps based on multiple agents and workflow. In this framework, the process is divided into three stages: structure analysis, map generalization, and style standardization. The map objects in the source geological map are abstracted as diverse agents with different properties and behaviors, and the agents can communicate with each other when they are activated. Thus, the relationship of the map objects is coordinated in geological map generalization, avoiding the conflict between the different operation levels. The workflow technology is used to manage the automated process. We discuss the task, modeling method, and specific operation in every stage based on the current conceptual framework and the characteristics of a geological map. Finally, we use a simple geological map for experimental studies that verify the proposed conceptual framework. The result shows that it is advantageous to design the software for automated generalization of geological maps based on the proposed compound conceptual framework.https://ieeexplore.ieee.org/document/7579553/Geological mapmap generalizationgeological map generalization
spellingShingle Junqiang Zhang
Chonglong Wu
Lizhe Wang
A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and Workflow
IEEE Access
Geological map
map generalization
geological map generalization
title A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and Workflow
title_full A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and Workflow
title_fullStr A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and Workflow
title_full_unstemmed A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and Workflow
title_short A Conceptual Framework for the Automated Generalization of Geological Maps Based on Multiple Agents and Workflow
title_sort conceptual framework for the automated generalization of geological maps based on multiple agents and workflow
topic Geological map
map generalization
geological map generalization
url https://ieeexplore.ieee.org/document/7579553/
work_keys_str_mv AT junqiangzhang aconceptualframeworkfortheautomatedgeneralizationofgeologicalmapsbasedonmultipleagentsandworkflow
AT chonglongwu aconceptualframeworkfortheautomatedgeneralizationofgeologicalmapsbasedonmultipleagentsandworkflow
AT lizhewang aconceptualframeworkfortheautomatedgeneralizationofgeologicalmapsbasedonmultipleagentsandworkflow
AT junqiangzhang conceptualframeworkfortheautomatedgeneralizationofgeologicalmapsbasedonmultipleagentsandworkflow
AT chonglongwu conceptualframeworkfortheautomatedgeneralizationofgeologicalmapsbasedonmultipleagentsandworkflow
AT lizhewang conceptualframeworkfortheautomatedgeneralizationofgeologicalmapsbasedonmultipleagentsandworkflow