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oai:www.ideals.illinois.edu:2142/81553 2023-07-11 col_2142_5131 col_2142_8951 com_2142_5130 com_2142_8950 com_2142_150

Smith, Linda C. Tang, Xiaoya 2015-09-25T20:17:14Z 2015-09-25T20:17:14Z 10000-01-01 2007 2007 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. Made available in DSpace on 2015-09-25T20:17:14Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3301232.pdf: 5681934 bytes, checksum: 987e81d0e1d4175db2299245aa2a2a8c (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 82834 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 260 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. http://hdl.handle.net/2142/81553 (MiAaPQ)AAI3301232 eng Information Science Extraction and Use of Structured Information in Full -Text Retrieval: A Case Study text Library and Information Science Library and Information Science University of Illinois at Urbana-Champaign Dissertation Ph.D.