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Text resource emergence: discovering evolutionary event patterns from web texts

Chengli Zhao (Department of Mathematics and System Science, National University of Defense Technology, Changsha, China)
Dongyun Yi (Department of Mathematics and System Science, National University of Defense Technology, Changsha, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 12 October 2012

266

Abstract

Purpose

The purpose of this paper is to research integrating web text resources and mine its emergence.

Design/methodology/approach

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. The authors 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 and furthermore, to mine the emergence of text content.

Findings

The proposed methods are generally applicable to text stream data and have many potential applications in text resource aggregation in open environment.

Research limitations/implications

The main limitation is availability of data.

Practical implications

The paper presents a very useful method for text resource aggregation in an open environment.

Originality/value

The paper presents a new method to integrate web text resources and mine its emergence.

Keywords

Citation

Zhao, C. and Yi, D. (2012), "Text resource emergence: discovering evolutionary event patterns from web texts", Kybernetes, Vol. 41 No. 9, pp. 1386-1395. https://doi.org/10.1108/03684921211275441

Publisher

:

Emerald Group Publishing Limited

Copyright © 2012, Emerald Group Publishing Limited

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