A scoping review on the use, processing and fusion of geographic data in virtual assistants

A scoping review on the use, processing and fusion of geographic data in virtual assistants
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虚拟助理中地理数据的使用、处理和融合的范围界定审查

DOI:
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发表时间:
2021
期刊:
Trans. GIS
影响因子:
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通讯作者:
Villie Morocho
Villie Morocho
中科院分区:
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文献类型:
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作者:
C. Granell;Paola Pesántez;Luis Manuel Vilches Blázquez;R. Achig;M. R. Luaces;Alejandro Cortiñas‐Álvarez;Carolina Chayle;Villie Morocho

文献摘要

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相似文献

虚拟助手是学术界和工业界日益增长的研究领域,对人们的日常生活产生了影响。科学中的许多学科正朝着将智能虚拟助手纳入多个场景和应用领域的方向发展,而GIScience并不是这一趋势的外部因素,因为它们可能与智能空间决策支持系统相连。本文对有关智能虚拟助理及其对地理空间信息和技术的使用的相关文献进行了范围界定回顾。特别是,这项研究的目的是找到GIScience的关键方面,以及如何为虚拟助理的发展做出贡献。此外,这项工作探讨了最突出的研究路线以及相关技术/平台,以确定在与地理空间有关的领域使用和实施虚拟助理方面的主要挑战和目前的限制。因此,本审查显示了地理空间应用程序在使用智能虚拟助手方面的现状,并揭示了在使用空间数据基础设施中可用的空间方法、标准和资源为广泛的应用领域开发基于虚拟助手的智能决策系统方面的差距和限制。
Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial‐related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains.