• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Advanced Collaborative Networks, Systems and Applications >Collaborative Mapping and the Reliability of Volunteered Data
【24h】

Collaborative Mapping and the Reliability of Volunteered Data

机译：协作映射和志愿数据的可靠性

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Participation platforms, such as OpenStreet Map.org or Wheelmap.org represent a shift from a world defined by the few to a world where almost everyone can participate voluntarily. Emerging cultures of participation offer powerful mechanisms to raise awareness of some of today's most pressing societal problems. However, just because citizens could contribute to these platforms, does not mean that they will actually do it. Engaging volunteers and offering straight-forward means of participation whilst simultaneously ensuring that volunteers meet the necessary quality standards remains a known challenge. In this paper, we explore the robustness of a collaborative mapping process, specifically collecting accessibility data of cities' built environment. The paper combines theoretical considerations from the field of participatory design and actual data from the authors' recent experiences with crowdsourcing open accessibility information. Finally, the paper makes the case for enhancing a categorical approach to mapping with a stronger consideration of a map's purpose and a healthy scepticism towards overly simplified crowdsourcing mechanisms.
机译：参与平台，例如OpenStreet Map.org或WheelMap.org代表了几乎每个人都可以自愿参与的世界所定义的世界的转变。新兴的参与文化提供了强大的机制，以提高对当今最紧迫的社会问题的一些意识。但是，仅仅因为公民可以为这些平台做出贡献，并不意味着他们实际上会这样做。志愿者和提供直接参与手段，同时确保志愿者符合必要的质量标准仍然是一个已知的挑战。在本文中，我们探讨了协作映射过程的稳健性，专门收集城市建造环境的可访问性数据。本文将参与式设计和实际数据领域的理论考虑与作者最近的经验与众包相结合。最后，本文提高了提高分类方法，以利用对地图的目的的更强烈考虑和对过度简化的众包机制的健康怀疑。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号