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

260 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 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.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD