Our partners Prashant Khare, Gregoire Burel, and Harith Alani from Knowledge Media Institute, published a paper under the title “Classifying Crises-Information Relevancy with Semantics” which was presented on the 5th of June 2018 at the 15th ESWC conference. The conference was held at Heraklion (Crete Island) in Greece from 3rd to 7th of June 2018.

As the topic of the paper suggests, crisis situations are the principal motivation behind this work. People around the world are impacted by crisis and disasters in various forms. And in this era, they tend to flock to different social media forums to share and access information in real time. Twitter certainly is among the most prominent medium for sharing and accessing real time information.

In this paper, the impact of semantics in classifying Twitter posts across same, and different, types of crises is explored. The authors experimented with 26 crisis events by using a hybrid system that combines statistical features with various semantic features extracted from external knowledge bases. They showed that adding semantic features has no noticeable benefit over statistical features when classifying same-type crises, whereas it enhances the classifier performance by up to 7.2% when classifying information about a new type of crisis.

You can access the final print version of the paper via Springer here

Or the preprint version here


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