Evolution of characteristic tree structured patterns from semistructured documents

Authors:
Katsushi Inata;Tetsuhiro Miyahara;Hiroaki Ueda;Kenichi Takahashi
Affiliations:
Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan;Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan;Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan;Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan
Venue:
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Year:
2006

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Abstract

Due to the rapid growth of Internet usage, semistructured documents such as XML/HTML files have been rapidly increasing. Genetic Programming is widely used as a method for evolving solutions from structured data and is shown to be useful for evolving highly structured knowledge. We apply genetic programming to the evolution of characteristic tree structured patterns from semistructured documents.