Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
#TwitterSearch: a comparison of microblog search and web search
Proceedings of the fourth ACM international conference on Web search and data mining
Leveraging the semantics of tweets for adaptive faceted search on twitter
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
ESA: emergency situation awareness via microbloggers
Proceedings of the 21st ACM international conference on Information and knowledge management
Groundhog day: near-duplicate detection on Twitter
Proceedings of the 22nd international conference on World Wide Web
The Scope for online social network aided caching in web CDNs
ANCS '13 Proceedings of the ninth ACM/IEEE symposium on Architectures for networking and communications systems
Analysis of Microblog Rumors and Correction Texts for Disaster Situations
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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In this paper, we present Twitcident, a framework and Web-based system for filtering, searching and analyzing information about real-world incidents or crises. Twitcident connects to emergency broadcasting services and automatically starts tracking and filtering information from Social Web streams (Twitter) when a new incident occurs. It enriches the semantics of streamed Twitter messages to profile incidents and to continuously improve and adapt the information filtering to the current temporal context. Faceted search and analytical tools allow users to retrieve particular information fragments and overview and analyze the current situation as reported on the Social Web. Demo: http://wis.ewi.tudelft.nl/twitcident/