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    <id>1675</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>104</pageFirst>
    <pageLast>114</pageLast>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue>2</issue>
    <volume>44</volume>
    <type>article</type>
    <publisherName>Springer Berlin Heidelberg</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2021-04-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Machine intelligence today: applications, methodology, and technology</title>
    <abstract language="eng">Machine intelligence, a.k.a. artificial intelligence (AI) is one of the most prominent and relevant technologies today. It is in everyday use in the form of AI applications and has a strong impact on society. This article presents selected results of the 2020 Dagstuhl workshop on applied machine intelligence. Selected AI applications in various domains, namely culture, education, and industrial manufacturing are presented. Current trends, best practices, and recommendations regarding AI methodology and technology are explained. The focus is on ontologies (knowledge-based AI) and machine learning.</abstract>
    <parentTitle language="eng">Informatik Spektrum</parentTitle>
    <identifier type="issn">0170-6012</identifier>
    <identifier type="issn">1432-122X</identifier>
    <identifier type="doi">10.1007/s00287-021-01343-1</identifier>
    <identifier type="urn">urn:nbn:de:kobv:523-16759</identifier>
    <enrichment key="opus.import.date">2023-03-24T23:07:13+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">deepgreen</enrichment>
    <enrichment key="opus.import.file">attachment; filename=deposit.zip</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Bernhard G. Humm</author>
    <author>Hermann Bense</author>
    <author>Michael Fuchs</author>
    <author>Benjamin Gernhardt</author>
    <author>Matthias Hemmje</author>
    <author>Thomas Hoppe</author>
    <author>Lukas Kaupp</author>
    <author>Sebastian Lothary</author>
    <author>Kai-Uwe Schäfer</author>
    <author>Bernhard Thull</author>
    <author>Tobias Vogel</author>
    <author>Rigo Wenning</author>
    <subject>
      <language>eng</language>
      <type>swd</type>
      <value>Maschinelles Lernen</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer Science, general</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer Hardware</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer Systems Organization and Communication Networks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Software Engineering/Programming and Operating Systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data Structures and Information Theory</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Künstliche Intelligenz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Ontologie &lt;Wissensverarbeitung&gt;</value>
    </subject>
    <collection role="Import" number="import">Import</collection>
    <thesisPublisher>Hochschule für Technik und Wirtschaft Berlin</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-htw/files/1675/s00287-021-01343-1.pdf</file>
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