Information Extraction from A Whole Web Site

Authors:
Xiaoying Gao;Mengjie Zhang
Affiliations:
School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, New Zealand and AI research Centre, Agricultural University of Hebei, Baoding, China, Email: {xgao,mengji ...;School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, New Zealand and AI research Centre, Agricultural University of Hebei, Baoding, China, Email: {xgao,mengji ...
Venue:
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Year:
2006

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Abstract

This paper focuses on information extraction from one site rather than from one page. A new directed-acyclic graph based representation method is introduced for representing link structures on the Web sites. A rule based language is developed for writing extraction rules. The approach is examined and tested on 42 Web sites in six different domains. The results suggest that the system can successfully extract most relevant information from Web sites in different domains.