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    <identifier>10.11922/sciencedb.j00104.00022</identifier>
    <datestamp>2020-10-15T16:00:16Z</datestamp>
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  <dc:date>2020-10-15</dc:date>
  <dc:title>XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00104.00022</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>One table and 11 figures. Table 1 shows XLORE2 statistics. Figure 1 shows the framework of XLORE2. Figure 2 is an example of cross-lingual knowledge linking. Figure 3 presents the framework of cross-lingual knowledge linking. Figure 4 is an example of cross-lingual property matching (attribute matching). Figure 5 shows the framework of cross-lingual property matching. Figure 6 presents an example of mistakenly derived facts. Figure 7 is the framework of cross-lingual knowledge validation. Figure 8 shows an example of fine-grained type inference. Figure 9 depicts the framework of fine-grained type inference. Figure 10 is an illustration of XLink. Figure 11 shows the interface of XLORE2 and XLink.</dc:description>
  <dc:subject>Knowledge base completion;  Knowledge linking;  Property matching;  Taxonomy alignment;  Type inference;  Entity linking</dc:subject>
  <dc:creator>Hailong Jin</dc:creator>
  <dc:creator>Chengjiang Li</dc:creator>
  <dc:creator> Jing Zhang</dc:creator>
  <dc:creator>Lei Hou</dc:creator>
  <dc:creator>Juanzi Li</dc:creator>
  <dc:creator> Peng Zhang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1162/dint_a_00003</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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