Information Discovery from Semi-structured Record Sets on the Web: from Web Pages to Knowledge - Wai Lam - Grāmatas - LAP LAMBERT Academic Publishing - 9783659206115 - 2014. gada 28. februāris
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Information Discovery from Semi-structured Record Sets on the Web: from Web Pages to Knowledge


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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.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2014. gada 28. februāris
ISBN13 9783659206115
Izdevēji LAP LAMBERT Academic Publishing
Lapas 124
Izmēri 150 × 7 × 225 mm   ·   203 g
Valoda Vācu  

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