A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System

Multicriteria Spatial Decision Support System (MC-SDSS) is one of the most common tools for solving the spatial decision problems. Using the MC-SDSS in the Web 2.0 environment enhances the collaborative decision making by providing a flexible problem-solving framework, where the relevant GIS-based m...

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Autores principales:	Mohammadreza Jelokhani-Niaraki, Jacek Malczewski
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 2012
Materias:	GIS MC-SDSS MCDA ontology Web 2.0 Web 3.0 Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/a23e69fa882a40798b23f9ae64d43df5
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id	oai:doaj.org-article:a23e69fa882a40798b23f9ae64d43df5
record_format	dspace
spelling	oai:doaj.org-article:a23e69fa882a40798b23f9ae64d43df52021-12-02T11:14:47ZA Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System1278-336610.4000/cybergeo.25514https://doaj.org/article/a23e69fa882a40798b23f9ae64d43df52012-09-01T00:00:00Zhttp://journals.openedition.org/cybergeo/25514https://doaj.org/toc/1278-3366Multicriteria Spatial Decision Support System (MC-SDSS) is one of the most common tools for solving the spatial decision problems. Using the MC-SDSS in the Web 2.0 environment enhances the collaborative decision making by providing a flexible problem-solving framework, where the relevant GIS-based multicriteria decision analysis (MCDA) tools and information are provided for active participation/collaboration. However, the Web 2.0-based collaborative GIS-MCDA knowledge including the user generated content (preferences/opinions) and the GIS-MCDA elements are not machine-understandable. Thus, such knowledge cannot be interpreted, processed, searched, shared, and reused by the Web-based software agents and applications. Additionally, the GIS-MCDA models are often constructed based on the knowledge and understanding that arises out of the subjective viewpoints and they lack a shared and common reference for collaboration, thus making it hard for participants to collaboratively solve the decision problem. To address these problems, this paper proposes the Web 3.0-based collaborative MC-SDSS, which integrates the Web 2.0 (a Web of people) community methods and the Semantic Web (a Web of meaning) technologies. The collaborative/participatory GIS-MCDA knowledge is semantically modeled in an ontological framework as a backbone of the Semantic Web. The ontology is needed to express the collaborative GIS-MCDA knowledge in a shared, unified, structured, meaningful, and machine-interpretable form, ready for software agents and people to interpret, process, communicate, share, and reuse it. The paper demonstrates an implementation of the proposed Web 3.0-based MC-SDSS for solving the parking site selection problem in Tehran, Iran.Mohammadreza Jelokhani-NiarakiJacek MalczewskiUnité Mixte de Recherche 8504 Géographie-citésarticleGISMC-SDSSMCDAontologyWeb 2.0Web 3.0Geography (General)G1-922DEENFRITPTCybergeo (2012)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	GIS MC-SDSS MCDA ontology Web 2.0 Web 3.0 Geography (General) G1-922
spellingShingle	GIS MC-SDSS MCDA ontology Web 2.0 Web 3.0 Geography (General) G1-922 Mohammadreza Jelokhani-Niaraki Jacek Malczewski A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System
description	Multicriteria Spatial Decision Support System (MC-SDSS) is one of the most common tools for solving the spatial decision problems. Using the MC-SDSS in the Web 2.0 environment enhances the collaborative decision making by providing a flexible problem-solving framework, where the relevant GIS-based multicriteria decision analysis (MCDA) tools and information are provided for active participation/collaboration. However, the Web 2.0-based collaborative GIS-MCDA knowledge including the user generated content (preferences/opinions) and the GIS-MCDA elements are not machine-understandable. Thus, such knowledge cannot be interpreted, processed, searched, shared, and reused by the Web-based software agents and applications. Additionally, the GIS-MCDA models are often constructed based on the knowledge and understanding that arises out of the subjective viewpoints and they lack a shared and common reference for collaboration, thus making it hard for participants to collaboratively solve the decision problem. To address these problems, this paper proposes the Web 3.0-based collaborative MC-SDSS, which integrates the Web 2.0 (a Web of people) community methods and the Semantic Web (a Web of meaning) technologies. The collaborative/participatory GIS-MCDA knowledge is semantically modeled in an ontological framework as a backbone of the Semantic Web. The ontology is needed to express the collaborative GIS-MCDA knowledge in a shared, unified, structured, meaningful, and machine-interpretable form, ready for software agents and people to interpret, process, communicate, share, and reuse it. The paper demonstrates an implementation of the proposed Web 3.0-based MC-SDSS for solving the parking site selection problem in Tehran, Iran.
format	article
author	Mohammadreza Jelokhani-Niaraki Jacek Malczewski
author_facet	Mohammadreza Jelokhani-Niaraki Jacek Malczewski
author_sort	Mohammadreza Jelokhani-Niaraki
title	A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System
title_short	A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System
title_full	A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System
title_fullStr	A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System
title_full_unstemmed	A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System
title_sort	web 3.0-driven collaborative multicriteria spatial decision support system
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	2012
url	https://doaj.org/article/a23e69fa882a40798b23f9ae64d43df5
work_keys_str_mv	AT mohammadrezajelokhaniniaraki aweb30drivencollaborativemulticriteriaspatialdecisionsupportsystem AT jacekmalczewski aweb30drivencollaborativemulticriteriaspatialdecisionsupportsystem AT mohammadrezajelokhaniniaraki web30drivencollaborativemulticriteriaspatialdecisionsupportsystem AT jacekmalczewski web30drivencollaborativemulticriteriaspatialdecisionsupportsystem
_version_	1718396123405615104

A Web 3.0-driven Collaborative Multicriteria Spatial Decision Support System

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