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    <responseDate>2026-10-12T13:20:13Z</responseDate>
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    <identifier>10.57760/sciencedb.31070</identifier>
    <datestamp>2026-03-23T17:44:34Z</datestamp>
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  <dc:date>2026-03-23</dc:date>
  <dc:title>DataSet of Emerging Technology Identification from a Semantic and Evolutionary Perspective--The Case of Industrial Robot Patents</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.31070</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset encompasses original industrial robot patent data, intermediate result data, and final outcome data from academic publications. It specifically includes: industrial robot patent records, growth-related keyword-matching data with subject keywords, keyword metadata, keyword metric score distributions, comprehensive keyword ranking scores, patent theme mining results from foundational and developmental phases, as well as indicator weighting matrices (derived using entropy weight method) in tabular format.</dc:description>
  <dc:subject>evolutionary perspective; emerging technologies; industrial robot</dc:subject>
  <dc:creator>Feng Guohe</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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