Extraction and Use of Structured Information in Full -Text Retrieval: A Case Study

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Library and Information Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Tang, Xiaoya

Contributors dc:contributor

• Smith, Linda C.

• Information Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3301232

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81553