メインナビゲーションにスキップ 検索にスキップ メインコンテンツにスキップ

Ducky: A data extraction system for various structured web documents

  • Kei Kanaoka
  • , Yotaro Fujii
  • , Motomichi Toyama

研究成果: Conference contribution

抄録

The World Wide Web has become a primary source of in-formation. Therefore, extracting data from Web sources has become a key technology. In this paper, we introduce a semi-automatic system Ducky, including a Web Wrapper which extracts data from Web sources and translates them into structured data. In Ducky, by defining a configuration file consisting in several parameters (URL of the Web page, CSS selectors which locates the data to retrieve and so on.), users do not need to write Web scraping programs at all. The definition is simple, yet can extract data flexibly from various structured Web pages. Additionally, Ducky provides a Web API and various output data formats: XML, JSON, CSV. Finally, experimentations confirmed that Ducky can accurately extract data from 22 different structured Web sources.

本文言語English
ホスト出版物のタイトルProceedings of the 18th International Database Engineering and Applications Symposium, IDEAS 2014
出版社Association for Computing Machinery
ページ342-347
ページ数6
ISBN(印刷版)9781450326278
DOI
出版ステータスPublished - 2014 1月 1
イベント18th International Database Engineering and Applications Symposium, IDEAS 2014 - Porto, Portugal
継続期間: 2014 7月 7 → 2014 7月 9

出版物シリーズ

名前ACM International Conference Proceeding Series

Other

Other18th International Database Engineering and Applications Symposium, IDEAS 2014
国/地域Portugal
CityPorto
Period14/7/7 → 14/7/9

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

フィンガープリント

「Ducky: A data extraction system for various structured web documents」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル