An Event Graph Model for Discovering Trends from Text Streams

نویسندگان

  • Chengli Zhao
  • Xue Zhang
  • Dongyun Yi
چکیده

In this paper, we formally define and study the event graph model based on set theory and multi-relations theory, and discuss the methods of modeling event and event relations in detail. The event graph model is mainly designed to extract the potential events and the relationships between events from massive text streams, and further discover the trends embodied in the contents in text streams. We also study the connectivity of the event graph model, and give the equivalent conditions to determine the connectivity of event graph.

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تاریخ انتشار 2010