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    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>47</pageFirst>
    <pageLast>51</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>3</volume>
    <type>article</type>
    <publisherName>DOAG Dienstleistungen</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-06-21</completedDate>
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    <title language="deu">Innovationen im Lernen von Java-Grundlagen</title>
    <abstract language="deu">Ob in der Schule, im Studium oder Selbststudium: Die Möglichkeiten und Techniken, Java zu lernen, haben sich in den vergangenen Jahren entscheidend weiterentwickelt. Dieser Artikel gibt einen Einblick in innovative Möglichkeiten des Java-Lernens sowie einen Ausblick, der zeigt, dass sich nicht nur Programmiersprachen weiterentwickeln, sondern auch der Weg, wie wir sie lernen und lehren.</abstract>
    <parentTitle language="deu">Java aktuell</parentTitle>
    <identifier type="url">https://www.doag.org/fileadmin/Daten/Zeitschriften/Java_aktuell/2022/03-2022-Java_aktuell-WEB.pdf</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Johannes Schildgen</author>
    <collection role="ddc" number="005">Computerprogrammierung, Programme, Daten</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>4848</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>83</pageFirst>
    <pageLast>102</pageLast>
    <pageNumber/>
    <edition/>
    <issue>CD-ROM</issue>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Gesellschaft für Informatik, Bonn</publisherName>
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    <completedDate>--</completedDate>
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    <title language="eng">Transformations on Graph Databases for Polyglot Persistence with NotaQL</title>
    <parentTitle language="deu">Datenbanksysteme für Business, Technologie und Web, 17. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssyteme" (DBIS) : 06.-10.03.2017 in Stuttgart, Deutschland (BTW 2017)</parentTitle>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Johannes Schildgen</author>
    <author>Yannick Krück</author>
    <author>Stefan Deßloch</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
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    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
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  <doc>
    <id>5208</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>427</pageFirst>
    <pageLast>438</pageLast>
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    <publisherName>RWTH Aachen</publisherName>
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    <title language="eng">Visualization of NoSQL transformations using sampling techniques | Visualisierung von NoSQL-Transformationen unter der Verwendung von Sampling-Techniken</title>
    <abstract language="deu">Analysen auf NoSQL-Datenbanken sind oft langdauernd und die Ergebnisse fur den Benutzer haufig schwer verst ̈andlich. Wir prasentieren eine Möglichkeit, Datenmengen aus Wide-Column Stores mittels der Transformationssprache NotaQL zu transformieren sowie zu aggregieren und die Ergebnisse in Form von Diagrammen dem Benutzer darzustellen. Dabei kommen Sampling-Techniken zum Einsatz, um die Berechnung auf Kosten der Genauigkeit zu beschleunigen. Das von uns verwendete iterative Samplingverfahren sorgt fur eine kontinuierliche Verbesserung der Berechnungsgenauigkeit und bietet zudem Möglichkeiten zur Genauigkeitsabschätzung, die in Form von Konfidenzintervallen in den Diagrammen dargestellt werden kann.</abstract>
    <parentTitle language="eng">Proceedings of the LWA 2015 workshops: KDML, FGWM, IR, and FGDB : Trier, Germany, October 7-9, 2015</parentTitle>
    <identifier type="url">https://ceur-ws.org/Vol-1458/H06_CRC77_Braun.pdf</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Stefan Braun</author>
    <author>Johannes Schildgen</author>
    <author>Stefan Deßloch</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
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    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
  </doc>
  <doc>
    <id>5266</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>139</pageFirst>
    <pageLast>151</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>9147</volume>
    <type>conferenceobject</type>
    <publisherName>Springer Nature</publisherName>
    <publisherPlace/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">NotaQL is not a query language! It’s for data transformation on wide-column stores</title>
    <abstract language="eng">It is simple to query a relational database because all columns of the tables are known and the language SQL is easily applicable. In NoSQL, there usually is no fixed schema and no query language. In this article, we present NotaQL, a data-transformation language for wide-column stores. NotaQL is easy to use and powerful. Many MapReduce algorithms like filtering, grouping, aggregation and even breadth-first-search, PageRank and other graph and text algorithms can be expressed in two or three short lines of code.</abstract>
    <parentTitle language="eng">Data Science : 30th British International Conference on Databases, BICOD 2015 Edingburgh, UK, July 6-8, 2015, Proceedings</parentTitle>
    <identifier type="doi">10.1007/978-3-319-20424-6_14</identifier>
    <identifier type="isbn">978-3-319-20423-9</identifier>
    <identifier type="isbn">978-3-319-20424-6</identifier>
    <identifier type="issn">1611-3349</identifier>
    <identifier type="issn">0302-9743</identifier>
    <enrichment key="opus.import.date">2022-08-20T07:06:56+00:00</enrichment>
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    <enrichment key="OtherSeries">Lecture Notes in Computer Science (LNCS) ; 9147</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Johannes Schildgen</author>
    <author>Stefan Deßloch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>NoSQL</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transformation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Language</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wide-column stores</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
  </doc>
  <doc>
    <id>5268</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>10</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Cross-system NoSQL data transformations with NotaQL</title>
    <abstract language="eng">The rising adoption of NoSQL technology in enterprises causes a heterogeneous landscape of different data stores. Different stores provide distinct advantages and disadvantages, making it necessary for enterprises to facilitate multiple systems for specific purposes. This resulting polyglot persistence is difficult to handle for developers since some data needs to be replicated and aggregated between different and within the same stores. Currently, there are no uniform tools to perform these data transformations since all stores feature different APIs and data models. In this paper, we present the transformation language NotaQL that allows cross-system data transformations. These transformations are output-oriented, meaning that the structure of a transformation script is similar to that of the output. Besides, we provide an aggregation-centric approach, which makes aggregation operations as easy as possible.</abstract>
    <parentTitle language="eng">BeyondMR '16: Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and BeyondJune 2016</parentTitle>
    <identifier type="doi">10.1145/2926534.2926535</identifier>
    <enrichment key="opus.import.date">2022-08-20T07:06:56+00:00</enrichment>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Johannes Schildgen</author>
    <author>Thomas Lottermann</author>
    <author>Stefan Deßloch</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
  </doc>
  <doc>
    <id>5267</id>
    <completedYear/>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Marimba: A framework for making MapReduce jobs incremental</title>
    <abstract language="eng">Many MapReduce jobs for analyzing Big Data require many hours and have to be repeated again and again because the base data changes continuously. In this paper we propose Marimba, a framework for making MapReduce jobs incremental. Thus, a recomputation of a job only needs to process the changes since the last computation. This accelerates the execution and enables more frequent recomputations, which leads to results which are more up-to-date. Our approach is based on concepts that are popular in the area of materialized views in relational database systems where a view can be updated only by aggregating changes in base data upon the previous result.</abstract>
    <parentTitle language="eng">Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014, 27 June 2014 - 02 July 2014, Anchorage, AK, USA</parentTitle>
    <identifier type="doi">10.1109/BigData.Congress.2014.27</identifier>
    <enrichment key="opus.import.date">2022-08-20T07:06:56+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Johannes Schildgen</author>
    <author>Thomas Jörg</author>
    <author>Manuel Dossinger</author>
    <author>Stefan Deßloch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Aggregates</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rhythm</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computational modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Programming</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Google</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Big data</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Relational databases</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
  </doc>
  <doc>
    <id>6272</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>138</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>book</type>
    <publisherName>Books on Demand GmbH</publisherName>
    <publisherPlace>Norderstedt</publisherPlace>
    <creatingCorporation>Books on Demand GmbH</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">MongoDB kompakt</title>
    <abstract language="deu">Die Dokumentendatenbank MongoDB ist das am weitesten verbreitete NoSQL-Datenbanksystem. Dieses kompakte Werk präsentiert MongoDB von der Installation bis zur Administrierung in großen Rechenclustern. Sie erfahren, wie Sie JSON-Dokumente in Kollektionen einfügen, suchen, ändern und löschen, wie man Replikation und Sharding effektiv einsetzt und wie Sie komplexe Analysen mithilfe der Aggregation-Pipeline durchführen können.</abstract>
    <subTitle language="deu">Was Sie über die NoSQL-Dokumentendatenbank wissen müssen, unterstützte Lesegerätegruppen: PC/MAC/eReader/Tablet</subTitle>
    <identifier type="isbn">9783756891269</identifier>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Johannes Schildgen</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>7857</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>14 Seiten</pageNumber>
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    <volume/>
    <type>conferenceobject</type>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-12-13</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">A Query-Rewriting-based Implementation for Temporal Data Management</title>
    <abstract language="eng">Temporal data management is used to query historical data, identify trends and changes, and make forecasts for the future. This paper provides a query-rewriting approach to implement temporal data management in the data-warehouse system Exasol by using so-called preprocessor scripts. Preprocessor scripts allow for executing custom Lua code and modifying SQL commands. Our approach does not need to undertake additional manual effort by the user. History tables and associated views are created in the background. Data records are automatically archived if they are updated or deleted, and the SELECT command is extended with the AS OF SYSTEM TIME clause as proposed by the SQL Standard.</abstract>
    <parentTitle language="deu">LWDA’24: Lernen, Wissen, Daten, Analysen. September 23–25, 2024, Würzburg, Germany</parentTitle>
    <identifier type="url">https://www.informatik.uni-wuerzburg.de/fileadmin/1003-lwda24/LWDA_Paper/DB_LWDA_CRC_164.pdf</identifier>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Reinhold Schlager</author>
    <author>Johannes Schildgen</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Temporal data management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data warehouse</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Exasol</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Database</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>6142</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>687</pageFirst>
    <pageLast>693</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Gesellschaft für Informatik e.V.</publisherName>
    <publisherPlace>Bonn</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Interactive SQL Queries and Program Code in Presentations</title>
    <abstract language="eng">Nowadays, most database lectures are performed with an accompanying visual presentation that further illustrates the conveyed facts. Conventional presentation software allows dynamic elements up to a certain level, for example revealing or changing parts of the slide step by step, or even an interaction with the viewers by means of polls or similar mechanisms. Recently, HTML-and browser-based frameworks for presentations have emerged, which allow an even higher degree of flexibility due to the manifold possibilities of HTML5 and JavaScript. This paper presents an approach of how to interactively modify parts of a slide during the presentation, like SQL-based queries or program code snippets, and show the results pretty-printed on the corresponding slide in real-time. This enables the lecturer to easily show more examples, and answer and illustrate side questions, which they did not prepare in advance.</abstract>
    <parentTitle language="deu">Datenbanksysteme für Business, Technologie und Web (BTW2023), 06.-10. März 2023, Dresden</parentTitle>
    <identifier type="doi">10.18420/BTW2023-39</identifier>
    <identifier type="isbn">978-3-88579-725-8</identifier>
    <enrichment key="OtherSeries">Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <licence>Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International</licence>
    <author>Johannes Schildgen</author>
    <author>Florian Heinz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lecture Slides</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SQL</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>8192</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>819</pageFirst>
    <pageLast>825</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Gesellschaft für Informatik</publisherName>
    <publisherPlace>Bonn</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">A Showcase of LLMs in Action: SQL Generation from Natural Language (Demo Paper)</title>
    <abstract language="eng">Today, large language models are a very efficient tool for human-computer interaction using natural language. Chatbots like ChatGPT and their corresponding APIs can be used to solve a large variety of tasks that are provided in human-comprehensible sentences, for example generating SQL queries. Executing spoken SQL queries in a database system poses a challenge, because the various syntactical details of SQL are usually not provided verbally. Here, the LLM can help to augment the recognized raw query with the syntax elements needed for successful execution. Furthermore, the correct spelling of table and column names can be derived from the database schema provided in the LLM prompt. This work showcases four use cases in which LLMs assist in querying database systems: (1) A plugin for phpMyAdmin for voice-query input in natural language, (2) a chart generator, (3) an Alexa skill, and (4) a speech-controlled action game SQL Invaders.</abstract>
    <parentTitle language="eng">Datenbanksysteme für Business, Technologie und Web - Workshopband (BTW 2025)</parentTitle>
    <identifier type="doi">10.18420/BTW2025-47</identifier>
    <note>Datenbanksysteme für Business, Technologie und Web - Workshopband (BTW 2025)</note>
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    <enrichment key="ConferenceStatement">Workshop Data Engineering for Data Science (DE4DS). Bamberg. 3.-7. März 2025</enrichment>
    <enrichment key="OtherSeries">Lecture Notes in Informatics ; P331</enrichment>
    <licence>Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International</licence>
    <author>Johannes Schildgen</author>
    <author>Florian Heinz</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
  </doc>
</export-example>
