Wikipevent: Leveraging Wikipedia Edit History for Event Detection

Wikipevent: Leveraging Wikipedia Edit History for Event Detection - scientific work related to Wikipedia quality published in 2014, written by Tuan A. Tran, Andrea Ceroni, Mihai Georgescu, Kaweh Djafari Naini and Marco Fisichella.

Overview

Much of existing work in information extraction assumes the static nature of relationships in fixed knowledge bases. However, in collaborative environments such as Wikipedia, information and structures are highly dynamic over time. In this work, authors introduce a new method to extract complex event structures from Wikipedia. Authors propose a new model to represent events by engaging multiple entities, generalizable to an arbitrary language. The evolution of an event is captured effectively based on analyzing the user edits history in Wikipedia. Authors work provides a foundation for a novel class of evolution-aware entity-based enrichment algorithms, and considerably increases the quality of entity accessibility and temporal retrieval for Wikipedia. Authors formalize this problem and introduce an efficient end-to-end platform as a solution. Authors conduct comprehensive experiments on a real dataset of (1.8 million) Wikipedia articles to show the effectiveness of proposed solution. Authors results demonstrate that authors are able to achieve a precision of 70% when evaluated using manually annotated data. Finally, authors make a comparative analysis of work with the well established Current Event Portal of Wikipedia and find that system WikipEvent using Co-References method can be used in a complementary way to deliver new and more information about events.