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        <datestamp>2023-07-10</datestamp>
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          <dc:contributor>Doan, AnHai</dc:contributor>
          <dc:contributor>Doan, AnHai</dc:contributor>
          <dc:contributor>Belford, Geneva G.</dc:contributor>
          <dc:contributor>Winslett, Marianne</dc:contributor>
          <dc:contributor>Zhai, ChengXiang</dc:contributor>
          <dc:creator>Lee, Yoonkyong</dc:creator>
          <dc:date>2010-05-19T18:34:43Z</dc:date>
          <dc:date>2010-05-19T18:34:43Z</dc:date>
          <dc:date>2010-05-19T18:34:43Z</dc:date>
          <dc:description>This dissertation studies the schema matching problem that finds semantic correspon- dences (called matches) between disparate data sources. Examples of semantic matches include “location = address” and “name = concat(first-name,last-name).”
Schema matching is one of the key challenges for many data sharing and exchange applications. Prime examples of such applications arise in numerous contexts, including data warehousing, scientific collaboration, e-commerce, bioinformatics, and data integra- tion on the World Wide Web. Despite significant progress, many challenges remain. These include discovering complex matches, a prevalent problem in practice, tuning a matching system, and deploying a matching system effectively in an application.
In this dissertation, we develop solutions for the three challenges mentioned above. First, we develop a system that discovers both one-to-one and complex matches and pro- vides a novel explanation facility that helps users analyze matches. Next, we develop a framework that automatically tunes multi-component matching systems by synthesiz- ing a collection of matching scenarios. Finally, we show that we can efficiently exploit discovered semantic matches without extra user effort in certain applications.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-03-29T13:40:57Z
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          <dc:identifier>http://hdl.handle.net/2142/16095</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2010 Yoonkyong Lee</dc:rights>
          <dc:subject>schema matching</dc:subject>
          <dc:subject>data integration</dc:subject>
          <dc:title>Developing, tuning, and using schema matching systems</dc:title>
          <dc:date>2010-5</dc:date>
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            <department>Computer Science</department>
            <departmentCode>1434</departmentCode>
            <discipline>Computer Science</discipline>
            <disciplineCode>0112</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
            <program>PHD:Computer Science -UIUC</program>
            <programCode>10KS0112PHD</programCode>
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