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Title:Extraction and Use of Structured Information in Full -Text Retrieval: A Case Study
Author(s):Tang, Xiaoya
Doctoral Committee Chair(s):Smith, Linda C.
Department / Program:Library and Information Science
Discipline:Library and Information Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Information Science
Abstract:This work contributes to information retrieval research by providing a more specific and accurate document content representation and consequently more effective full-text retrieval and by providing a better understanding of how structured semantic information can impact full-text retrieval performance. This study provides a practical approach for extracting and using structured semantic information in real retrieval systems that can be generalized for application to similar data collections or other special collections and improves the usability of such large full-text databases.
Issue Date:2007
Type:Text
Language:English
Description:260 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.
URI:http://hdl.handle.net/2142/81553
Other Identifier(s):(MiAaPQ)AAI3301232
Date Available in IDEALS:2015-09-25
Date Deposited:2007


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