Information Discovery from Semi-structured Record Sets on the Web: from Web Pages to Knowledge - Wai Lam - 書籍 - LAP LAMBERT Academic Publishing - 9783659206115 - 2014年2月28日
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Information Discovery from Semi-structured Record Sets on the Web: from Web Pages to Knowledge

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発送予定日 年9月22日 - 年10月2日
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In this book, we develop two frameworks to tackle the task of semi-structured Web data record extraction. We first present a record segmentation search tree framework in which a new search structure, named Record Segmentation Tree (RST), is designed and several efficient search pruning strategies on the RST structure are proposed to identify the records in a given Web page. We also present another DOM Structure Knowledge Oriented Global Analysis (Skoga) framework which can perform robust detection of different kinds of data records and record regions. Skoga can conduct a global analysis on the DOM structure to achieve effective detection. Finally, we present a framework that can make use of the detected data records to automatically populate existing Wikipedia categories. This framework takes a few existing entities that are automatically collected from a particular Wikipedia category as seed input and explores their attribute infoboxes to obtain clues for the discovery of more entities for this category and the attribute content of the newly discovered entities.

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2014年2月28日
ISBN13 9783659206115
出版社 LAP LAMBERT Academic Publishing
ページ数 124
寸法 150 × 7 × 225 mm   ·   203 g
言語 ドイツ語