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A scoping review on the use, processing and fusion of geographic data in virtual assistants
Transactions in GIS ( IF 2.568 ) Pub Date : 2021-01-05 , DOI: 10.1111/tgis.12720
Carlos Granell 1 , Paola G. Pesántez‐Cabrera 2 , Luis M. Vilches‐Blázquez 3 , Rosario Achig 2 , Miguel R. Luaces 4 , Alejandro Cortiñas‐Álvarez 4 , Carolina Chayle 5 , Villie Morocho 2
Affiliation  

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.

中文翻译:

虚拟助手中地理数据的使用、处理和融合的范围审查

虚拟助手是学术界和工业界不断发展的研究领域,对人们的日常生活产生了影响。许多科学学科正朝着在多个场景和应用领域中结合智能虚拟助手的方向发展,而 GIScience 并不在这一趋势之外,因为它们可能连接到智能空间决策支持系统。本文介绍了一个范围审查,以指出与智能虚拟助手及其对地理空间信息和技术的使用相关的相关文献。特别是,该研究旨在寻找 GIScience 的关键方面以及如何为虚拟助手的开发做出贡献。而且,这项工作探索了最突出的研究方向以及相关技术/平台,以确定在地理空间相关领域使用和实施虚拟助手的主要挑战和当前限制。因此,本综述展示了有关使用智能虚拟助手的地理空间应用的当前状态,并揭示了使用空间数据基础设施中可用的空间方法、标准和资源来开发基于智能决策系统的差距和局限性。用于广泛应用领域的虚拟助手。
更新日期:2021-01-05
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