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          <dc:contributor>Chang, Kevin C-C.</dc:contributor>
          <dc:creator>Chieng, Steven K.</dc:creator>
          <dc:date>2011-01-21T22:43:42Z</dc:date>
          <dc:date>2011-01-21T22:43:42Z</dc:date>
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          <dc:date>2011-01-21T22:43:42Z</dc:date>
          <dc:date>2010-12</dc:date>
          <dc:description>The massive amount of information on the Web has led to the proliferation of vertical search engines, which are specialized for specific domains. Such engines can offer superior results through gathering and utilizing domain-specific information. In this thesis, we explore the idea of applying similar techniques to Wikipedia. We construct a conceptual model of vertical search
and explain why Wikipedia is especially suitable for this form of search. We go on to analyze the difficulties of making full use of Wikipedia's advantages, and offer possible solutions. These solutions were tested through implementation of simple search scenarios across two distinct database architectures.
Finally, we compare the performance and ease of implementation of the two
architectures, consider the quality of results obtained from our searches, and offer suggestions for future work.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/18504</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2010 Steven Kuo Chieng</dc:rights>
          <dc:subject>wikipedia</dc:subject>
          <dc:subject>vertical search</dc:subject>
          <dc:subject>databases</dc:subject>
          <dc:title>Enabling Vertical Search Over Wikipedia</dc:title>
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            <department>Computer Science</department>
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            <discipline>Computer Science</discipline>
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            <grantor>University of Illinois at Urbana-Champaign</grantor>
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