Extraction and Use of Structured Information in Full -Text Retrieval: A Case Study
Tang, Xiaoya
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Permalink
https://hdl.handle.net/2142/81553
Description
Title
Extraction and Use of Structured Information in Full -Text Retrieval: A Case Study
Author(s)
Tang, Xiaoya
Issue Date
2007
Doctoral Committee Chair(s)
Smith, Linda C.
Department of Study
Library and Information Science
Discipline
Library and Information Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Information Science
Language
eng
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.
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