如何在GIS移动应用中引入语义:期望、理论与现实

Laia Descamps-Vila, J. Conesa, A. Pérez-Navarro
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引用次数: 3

摘要

随着GPS的出现和智能手机(iPhone、Android等)的普及,处理地理信息的应用程序激增。许多这样的应用程序开始通过以下方式提供语义信息:1)旅游景点的分类(叙词表旅游类别开放街道地图等),以及2)元数据的表示(关联地理数据,十字路口等)。然而,移动设备并没有充分发挥这些潜力。本文全面研究了在移动设备中包含语义和地理数据的主要形式,以及如何使它们在没有互联网连接的情况下仅在移动设备中有效地工作。本文提出了实现这些技术的几种选择,并针对每种选择展示了这种实现的局限性。因此,提供了在移动设备上实现语义地理应用程序的各种可用选项。为了实现这一目标,该研究展示了一个案例研究,其中使用本体为运行在移动设备上的旅行助手提供语义。目标是一个应用程序能够为每个用户提供不同的个性化旅游路线,考虑到用户的兴趣和可用时间,所有的过程都必须在移动设备中运行。本文的主要贡献是在移动设备中管理和组合语义数据和地理信息,并且在没有互联网连接的情况下为最终用户应用程序进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Can Semantic Be Introduced in GIS Mobile Applications: Expectations, Theory and Reality
With the advent of GPS and the spread of smart phones (iPhone, Android, etc.) have proliferated applications dealing with geographic information. Many of these applications are beginning to provide semantic information through: 1) the classification of tourist attractions in categories (thesauri tourism categories Open Street Map, etc.), and 2) the representation of metadata (Linked Geo Data, Crossing, etc.). However, mobile devices do not still uses all this potential. This paper presents a comprehensive study on the main formalisms to include Semantic and Geographic Data within a mobile device, and how to get them work efficiently just in the mobile, without internet connection. The article presents several options to implement these technologies and, for every option shows the limitations of such implementation. Therefore provides a glimpse into the various options available to implement semantic geographic applications on mobile devices. To mark the goal, the study shows a case study where ontologies have been used to provide semantics to a travel assistant that runs on mobile devices. The goal is an application able to offer personalized touristic routes different for every single user, that take into account, for example, the user interests and time available, and all the processes must be run within the mobile device. The main contribution of the paper is to manage and combine semantic data and geographic information within a mobile device, and doing it without internet connection, and for an end-user application.
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