Articles liés à Information Discovery from Semi-structured Record Sets...

Information Discovery from Semi-structured Record Sets on the Web: From Web Pages to Knowledge - Couverture souple

Bing, Lidong; Lam, Wai

 
9783659206115: Information Discovery from Semi-structured Record Sets on the Web: From Web Pages to Knowledge
Couverture souple
ISBN 10 : 3659206113 ISBN 13 : 9783659206115
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

He is currently a postdoc fellow in The Chinese University of Hong Kong, where he received his PhD in 2012. Before that, he obtained his MPhil and BSc degrees from Peking University and Northeast Normal University respectively. He has research interests in Information Extraction, Information Retrieval, Web Mining, Natural Language Processing, etc.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659206113
ISBN 13 
9783659206115
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
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