Extraction of relevant components using shallow structure of HTML documents

Jun Zeng, Brendan Flanagan, Toshihiko Sakai, Sachio Hirokawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 引用 (Scopus)

抜粋

As the amount of web page increases, searching for semi-structured documents is gaining greater attention. The traditional approach for extracting data from web page documents is to write specialized programs, called wrappers that identify data of interest and map them to some suitable format. However, developing wrappers manually has many well known shortcomings, mainly due to the difficulty in writing and maintaining them for continually changing web data. Moreover, there is no one wrapper program that can treat all kinds of web pages. In this paper, we aim to extract relevant and meaningful snippets from as many web pages as possible, using the shallow feature of HTML documents to discover and analyze the relevant components. Also, we introduced a new feature called GAP and verified the effectiveness of GAP by conducting a SVM learning experiment.

元の言語英語
ホスト出版物のタイトルProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
ページ1186-1190
ページ数5
DOI
出版物ステータス出版済み - 2012
イベント2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 - Chongqing, 中国
継続期間: 5 29 20125 31 2012

その他

その他2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
中国
Chongqing
期間5/29/125/31/12

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Logic

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  • これを引用

    Zeng, J., Flanagan, B., Sakai, T., & Hirokawa, S. (2012). Extraction of relevant components using shallow structure of HTML documents. : Proceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 (pp. 1186-1190). [6234295] https://doi.org/10.1109/FSKD.2012.6234295