Mining Evolutionary Event Patterns of Web Texts for Text Resource Aggregation

Abstract

As an outcome of the overwhelming volume of Internet resources, it is necessary to research methods integrating distributed autonomous resources connected to the Internet to make them more effective and efficient. With the understanding of characteristics of internet resources, this paper will focus on solving the problem of text resource aggregation in open environment and its emergence showed during aggregation over time. We process these text resources both in space and time dimension through viewing them as an event stream evolving over time, and attempt to discover the evolutionary event patterns, furthermore, to mine the emergence of text content, such as revealing research trends in scientific literature. Experiments show that our methods can discover interesting evolutionary event patterns effectively.