TY - CHAP A1 - Bock, Jürgen A1 - Braun, Daniel A1 - Hülsmann, Jens A1 - Humm, Bernhard A1 - Schmidt, Ute Brigitta A1 - Schumann, Fabienne ED - Beverungen, Daniel ED - Schumann, Jan H. ED - Stich, Volker ED - Strina, Giuseppe T1 - ProDok 4.0 – Intelligente Technische Dokumentation für Industrie 4.0 T2 - Dienstleistungsinnovationen durch Digitalisierung UR - https://doi.org/10.1007/978-3-662-63099-0_10 Y1 - 2021 UR - https://doi.org/10.1007/978-3-662-63099-0_10 SN - 978-3-662-63098-3 SN - 978-3-662-63099-0 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine IS - Band 2: Prozesse – Transformation – Wertschöpfungsnetzwerke SP - 389 EP - 437 PB - Springer Gabler CY - Berlin, Heidelberg ER - TY - CHAP A1 - Beez, Ulrich A1 - Kaupp, Lukas A1 - Deuschel, Tilman A1 - Humm, Bernhard A1 - Schumann, Fabienne A1 - Bock, Jürgen A1 - Hülsmann, Jens ED - Hoppe, Thomas ED - Humm, Bernhard ED - Reibold, Anatol T1 - Context-Aware Documentation in the Smart Factory T2 - Semantic Applications: Methodology, Technology, Corporate Use UR - https://doi.org/10.1007/978-3-662-55433-3_12 Y1 - 2018 UR - https://doi.org/10.1007/978-3-662-55433-3_12 SN - 978-3-662-55432-6 SP - 163 EP - 180 PB - Springer Vieweg CY - Berlin ER - TY - JOUR A1 - Humm, Bernhard A1 - Bense, Hermann A1 - Bock, Jürgen A1 - Classen, Mario A1 - Halvani, Oren A1 - Herta, Christian A1 - Hoppe, Thomas A1 - Juwig, Oliver A1 - Siegel, Melanie T1 - Applying machine intelligence in practice BT - Selected results of the 2019 DagstuhlWorkshop on Applied Machine Intelligence JF - Informatik Spektrum N2 - 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. UR - https://doi.org/10.1007/s00287-020-01259-2 Y1 - 2020 UR - https://doi.org/10.1007/s00287-020-01259-2 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-16202 SN - 1432-122X VL - 43 IS - 2 SP - 137 EP - 144 PB - Springer CY - Berlin ER -