Effective and Efficient Situation Awareness in Big Social Media Data

由于灾区的通信能力有限，使用电话等传统方法的危机管理服务很容易被延迟。该项目旨在通过使用大社交媒体数据来检测复杂的社交事件，接收建议并观察事件摘要，帮助用户在关键情况下做出明智的决策。我们将发明先进的社交数据模型，高效的索引和查询技术，用于大型媒体的态势感知。我们期望开发一个系统来评估所提出的态势感知框架。该项目的成果将有利于社交媒体分析和大数据领域。它还将通过在危机中实现真实的实时情况感知来改善政府服务。

Crisis management services using traditional methods like phone calls can be easily delayed due to limited communication ability in the disaster area. This project aims to help users make smart decision in critical situations by using big social media data to detect complex social events, receive recommendations, and observe event summaries. We will invent advanced social data models, efficient indices and query techniques for situation awareness in big media. We expect to develop a system to evaluate the proposed situation awareness framework. The outcomes of the project will benefit social media analysis and big data fields. It will also improve the government services by enabling the real time situation awareness in crisis.