FOLKSOMAPS - towards community driven intelligent maps for developing regions

Arun Kumar, D. Chakraborty, Himanshu Chauhan, Sheetal K. Agarwal, Nitendra Rajput
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引用次数: 11

Abstract

Many services taken for granted in the developed world are often missing from the developing countries. One typical example is that of map systems that form the basis of several location driven services. Its heavy reliance on content, provides a huge barrier towards building such systems. Further, in developing countries like India, the infrastructure typically has a history of unplanned development, leading to unorganized addresses and absence of standard naming conventions for roads. Detailed map systems such as online maps have only recently started becoming available but for major cities. Remote towns and villages remain out of reach till date. In this paper, we investigate a community-driven approach for creating maps in developing regions - following Web 2.0 principles, but not entirely relying on the existing Web. Our system, dubbed FOLKSOMAPS is an intelligent, community constructed map system, particularly architected with developing regions in mind. We present the design of FOLKSOMAPS, followed by an implementation of our proof-of-concept system. We present user studies aimed at understanding the uptake, usability and utility of FOLKSOMAPS. The results indicate a strong need for such a community-generated mapping ecosystem.
FOLKSOMAPS——面向发展中地区的社区驱动智能地图
发达国家认为理所当然的许多服务在发展中国家往往是缺失的。一个典型的例子是地图系统,它构成了几个位置驱动服务的基础。它对内容的严重依赖为建立这样的系统提供了巨大的障碍。此外,在像印度这样的发展中国家,基础设施通常有一个无计划发展的历史,导致没有组织的地址和缺乏标准的道路命名惯例。像在线地图这样的详细地图系统直到最近才开始出现,但仅限于大城市。偏远的城镇和村庄至今仍遥不可及。在本文中,我们研究了一种在发展中地区创建地图的社区驱动方法——遵循Web 2.0原则,但不完全依赖于现有的Web。我们的系统,被称为FOLKSOMAPS,是一个智能的,社区构建的地图系统,特别是考虑到发展中地区的架构。我们介绍了FOLKSOMAPS的设计,然后是我们的概念验证系统的实现。我们介绍了用户研究,旨在了解FOLKSOMAPS的吸收、可用性和实用性。研究结果表明,迫切需要这样一个社区生成的地图生态系统。
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