INTEROP: Rapid Deployment of Humanitarian Assistance Social Networks for ad hoc Geospatial Data Sharing (GeoNets)

INTEROP：快速部署人道主义援助社交网络以实现临时地理空间数据共享 (GeoNets)

• 批准号: 0753124
• 负责人: Kristina Lerman
• 金额: $ 60万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0753124&HistoricalAwards=false
• 关键词: INTEROP; Rapid; Deployment; Humanitarian; Assistance

ABSTRACTAccess to up-to-date and quality information can have a significant impact on the humanitarian relief community as they coordinate relief efforts. In addition to data that is created and curated by experts, there is a vast volunteer community who are empowered by the social Web to generate community curated content on sites such as Flickr, Del.icio.us, and Google Earth. Combining data from experts and volunteers can facilitate the efforts of relief agencies. In order to effectively use this data, one needs to (1) discover relevant sources, (2) assess quality, and (3) understand their content. Fortunately, the wealth of content and metadata, i.e., annotations in the form of tags, on the social Web, can aid in this task of semantic discovery and quality assessment.The GeoNets project will develop methods to analyze social content and metadata in order to extract concepts, including geospatial concepts and generate semantically-rich geospatial data. GeoNets can also increase the re-use of data by suggesting terms to improve the quality of existing annotations. GeoNets will develop methodologies for semantic discovery and quality assessment to create a GeoNets dataspace and provide a user friendly query language.The methods developed by the project also apply to other fields where information created by a lay community augments the knowledge produced by professionals. In several scientific disciplines, including astronomy, biology and ecology, an army of passionate amateurs is making new observations and discoveries. GeoNets will create tools that will enable scientists to leverage community-generated knowledge to create up-to-date, semantically rich dataspaces."

获取最新和高质量的信息对人道主义救援团体协调救援工作具有重大影响。 除了由专家创建和管理的数据外，还有一个庞大的志愿者社区，他们被社交网络授权在Flickr、Del.icio.us和Google Earth等网站上生成社区管理的内容。将专家和志愿者提供的数据结合起来，可以促进救济机构的工作。 为了有效地使用这些数据，需要（1）发现相关来源，（2）评估质量，（3）了解其内容。 幸运的是，丰富的内容和元数据，即，在社会网络上，标签形式的注释可以帮助语义发现和质量评估。GeoNets项目将开发分析社会内容和元数据的方法，以提取概念，包括地理空间概念，并生成语义丰富的地理空间数据。GeoNets还可以通过建议术语来提高现有注释的质量，从而增加数据的重用。 GeoNets将开发语义发现和质量评估的方法，以创建GeoNets数据空间并提供用户友好的查询语言。该项目开发的方法也适用于其他领域，其中由外行社区创建的信息增加了专业人员产生的知识。在天文学、生物学和生态学等多个科学学科中，一支充满热情的业余爱好者大军正在进行新的观察和发现。GeoNets将创建工具，使科学家能够利用社区生成的知识来创建最新的，语义丰富的数据空间。"