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    <id>1706</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>137</pageFirst>
    <pageLast>144</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>43</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2020-03-06</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Applying machine intelligence in practice</title>
    <abstract language="eng">The relevance of Machine Intelligence, a.k.a. Artificial Intelligence (AI), is undisputed at the present time. This is not only due to AI successes in research but, more prominently, its use in day-to-day practice. In 2014, we started a series of annual workshops at the Leibniz Zentrum für Informatik, Schloss Dagstuhl, Germany, initially focussing on Corporate Semantic Web and later widening the scope to Applied Machine Intelligence. This article presents a number of AI applications from various application domains, including medicine, industrial manufacturing and the insurance sector. Best practices, current trends, possibilities and limitations of new AI approaches for developing AI applications are also presented. Focus is put on the areas of natural language processing, ontologies and machine learning. The article concludes with a summary and outlook.</abstract>
    <parentTitle language="eng">Informatik Spektrum</parentTitle>
    <identifier type="issn">0170-6012</identifier>
    <identifier type="issn">1432-122X</identifier>
    <identifier type="doi">10.1007/s00287-020-01259-2</identifier>
    <identifier type="urn">urn:nbn:de:kobv:523-17065</identifier>
    <enrichment key="opus.import.date">2023-05-15T05:41:14+00:00</enrichment>
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    <enrichment key="opus.import.user">deepgreen</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Bernhard Humm</author>
    <author>Hermann Bense</author>
    <author>Jürgen Bock</author>
    <author>Mario Classen</author>
    <author>Oren Halvani</author>
    <author>Christian Herta</author>
    <author>Thomas Hoppe</author>
    <author>Oliver Juwig</author>
    <author>Melanie Siegel</author>
    <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>Semantic Web</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Maschinelles Lernen</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Automatische Sprachanalyse</value>
    </subject>
    <thesisPublisher>Hochschule für Technik und Wirtschaft Berlin</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-htw/files/1706/s00287-020-01259-2.pdf</file>
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