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  <responseDate>2026-07-28T06:17:11Z</responseDate>
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      <header>
        <identifier>oai:meral.edu.mm:recid/5343</identifier>
        <datestamp>2021-12-13T00:42:50Z</datestamp>
        <setSpec>1582963342780:1596102391527</setSpec>
        <setSpec>user-uit</setSpec>
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        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Extraction of Reliable Information from the Web</dc:title>
          <dc:creator>Cherry Soe</dc:creator>
          <dc:creator>Thandar Lwin</dc:creator>
          <dc:description>Information extraction is one of the methods
to retrieve information from complex web pages. With
the use of multiple algorithms, intelligence,
knowledge base, knowledge acquisition and filtering,
people nowadays can benefited with the use of
information extraction. Such application has been
applied in several dimensions, such as new
transcripts, insurance in formation, and weather
reports. This proposed system extracts required
laptop data from relevant web pages and convert
them into a standard database. This paper uses
STALKER algorithm to generate the rules for
extracting the laptop information. The extract ed data
are matched and recognized with built in keyword
and entity tables using Named Entity Recognition
(NER). And then, the system produces the required
extracted information. By using this system, the user
can get the meaningful laptop information and it also
provides the user with easy access and time saving.</dc:description>
          <dc:date>2010-12-16</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000005343</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/5343</dc:identifier>
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      </metadata>
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