Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Overview of results of the MUC-6 evaluation
MUC6 '95 Proceedings of the 6th conference on Message understanding
You are where you tweet: a content-based approach to geo-locating twitter users
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Location inference using microblog messages
Proceedings of the 21st international conference companion on World Wide Web
Semantics + filtering + search = twitcident. exploring information in social web streams
Proceedings of the 23rd ACM conference on Hypertext and social media
Using Social Media to Enhance Emergency Situation Awareness
IEEE Intelligent Systems
| Hi-index | 0.00 |
Citizens, news reporters, relief organizations, and governments are increasingly relying on the Social Web to report on and respond to disasters as they occur. The capability to rapidly react to important events, which can be identified from high-volume streams even when the sources are unknown, still requires precise localization of the events and verification of the reports. In this paper, we propose a framework for classifying location elements and a method for their extraction from Social Web data. We describe the framework in the context of existing Social Web systems used for disaster management. We present a new location-inferencing architecture and evaluate its performance with a data set from a real-world disaster.