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        <article-title>Knowledge Extraction Based on Forgetting and Subontology Generation</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>DL Invited Talk Abstract</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Renate A. Schmidt</string-name>
          <email>Renate.Schmidt@manchester.ac.uk</email>
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        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>University of Manchester</institution>
          ,
          <addr-line>Oxford Rd, Manchester M13 9PL</addr-line>
          ,
          <country country="UK">UK</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2022</year>
      </pub-date>
      <abstract>
        <p>This presentation will give an overview of our ongoing work in developing knowledge extraction methods for description logic based ontologies. Because the knowledge is not only given by the axioms stated in an ontology but also by the knowledge that can be inferred from these axioms, knowledge extraction is a challenging problem. Forgetting creates a compact and faithful representation of the stored knowledge over a user-specified signature by performing inferences on the symbols outside this signature.</p>
      </abstract>
      <kwd-group>
        <kwd>Knowledge extration</kwd>
        <kwd>forgetting</kwd>
        <kwd>description logics</kwd>
        <kwd>ontologies</kwd>
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      <p>LGOBE
rOcid</p>
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