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  1. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.06 
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    Abstract
    Diese Publikation beschreibt die Zusammenhänge zwischen wissenshaltigen begriffsorientierten Terminologien, Ontologien, Big Data und künstliche Intelligenz.
    Date
    13.12.2017 14:17:22
  2. Deokattey, S.; Sharma, S.B.K.; Kumar, G.R.; Bhanumurthy, K.: Knowledge organization research : an overview (2015) 0.02 
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    Date
    22. 6.2015 16:13:38
  3. Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013) 0.01 
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    BK
    54.72 Künstliche Intelligenz
    Classification
    54.72 Künstliche Intelligenz
  4. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.01 
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    Date
    13. 9.2014 14:45:22
  5. Eckert, K: ¬The ICE-map visualization (2011) 0.00 
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  6. Positionspapier zur Weiterentwicklung der Bibliotheksverbünde als Teil einer überregionalen Informationsinfrastruktur (2011) 0.00 
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    Date
    7. 2.2011 19:52:22
  7. Förderung von Informationsinfrastrukturen für die Wissenschaft : Ein Positionspapier der Deutschen Forschungsgemeinschaft (2018) 0.00 
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    Date
    22. 3.2018 17:30:43
  8. Wehling, E.: Framing-Manual : Unser gemeinsamer freier Rundfunk ARD (2019) 0.00 
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    Date
    22. 2.2019 9:26:20
  9. Dellschaft, K.; Hachenberg, C.: Repräsentation von Wissensorganisationssystemen im Semantic Web : ein Best Practice Guide (2011) 0.00 
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  10. Hochschule im digitalen Zeitalter : Informationskompetenz neu begreifen - Prozesse anders steuern (2012) 0.00 
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    Date
    8.12.2012 17:22:26
  11. Darstellung der CrissCross-Mappingrelationen im Rahmen des Semantic Web (2010) 0.00 
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    Abstract
    Basierend auf der Analyse und der initialen Losungsidee aus Abschnitt 3 werden anschlieend in Abschnitt 4 konkrete Losungsvorschlage unterbreitet, wie die Losungsidee im Rahmen einer SKOS-Erweiterung umgesetzt werden kann. Es werden mehrere Losungsvorschlage vorgestellt und miteinander verglichen. Ein wichtiger Teil der Losungsvorschlage ist die Repräsentation von koordinierten Konzepten. Der andere wichtige Teil ist die Herleitung der CrissCross-Mappingrelationen von den existierenden, bidirektionalen SKOS-Mappingrelationen. Diese beiden Erweiterungen der SKOSSpezifikation konnen zusammen dazu genutzt werden, die Mappings im Rahmen des Semantic Webs einem groeren Zielpublikum zur Verfugung zu stellen und nutzbar zu machen.

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