-
Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001)
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- Date
- 24. 8.2005 19:20:22
-
Greenberg, J.; Pattuelli, M.; Parsia, B.; Robertson, W.: Author-generated Dublin Core Metadata for Web Resources : A Baseline Study in an Organization (2002)
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Tappenbeck, I.; Michel, A.; Wittich, A.; Werr, N.; Gäde, M.; Spree, U.; Gläser, C.; Griesbaum, J.; Mandl, T.; Keller-Loibl, K.; Stang, R.: Framework Informationskompetenz : Ein gemeinsamer Standard für die Qualifikation in den bibliotheks- und informationswissenschaftlichen Studiengängen in Deutschland (2022)
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-
Babcock, K.; Lee, S.; Rajakumar, J.; Wagner, A.: Providing access to digital collections (2020)
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- Abstract
- The University of Toronto Libraries is currently reviewing technology to support its Collections U of T service. Collections U of T provides search and browse access to 375 digital collections (and over 203,000 digital objects) at the University of Toronto Libraries. Digital objects typically include special collections material from the university as well as faculty digital collections, all with unique metadata requirements. The service is currently supported by IIIF-enabled Islandora, with one Fedora back end and multiple Drupal sites per parent collection (see attached image). Like many institutions making use of Islandora, UTL is now confronted with Drupal 7 end of life and has begun to investigate a migration path forward. This article will summarise the Collections U of T functional requirements and lessons learned from our current technology stack. It will go on to outline our research to date for alternate solutions. The article will review both emerging micro-service solutions, as well as out-of-the-box platforms, to provide an overview of the digital collection technology landscape in 2019. Note that our research is focused on reviewing technology solutions for providing access to digital collections, as preservation services are offered through other services at the University of Toronto Libraries.
-
Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000)
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- Date
- 11. 5.2013 19:22:18
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Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023)
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- Date
- 29.12.2022 18:22:55
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Bold, N.; Kim, W.-J.; Yang, J.-D.: Converting object-based thesauri into XML Topic Maps (2010)
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Mao, J.; Xu, W.; Yang, Y.; Wang, J.; Yuille, A.L.: Explain images with multimodal recurrent neural networks (2014)
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-
Priss, U.: Faceted knowledge representation (1999)
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- Date
- 22. 1.2016 17:30:31
-
Hunger, M.; Neubauer, P.: ¬Die vernetzte Welt : Abfragesprachen für Graphendatenbanken (2013)
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Junger, U.; Schwens, U.: ¬Die inhaltliche Erschließung des schriftlichen kulturellen Erbes auf dem Weg in die Zukunft : Automatische Vergabe von Schlagwörtern in der Deutschen Nationalbibliothek (2017)
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- Date
- 19. 8.2017 9:24:22
-
Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Kasprzik, A.; Kett, J.: Vorschläge für eine Weiterentwicklung der Sacherschließung und Schritte zur fortgesetzten strukturellen Aufwertung der GND (2018)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Dowding, H.; Gengenbach, M.; Graham, B.; Meister, S.; Moran, J.; Peltzman, S.; Seifert, J.; Waugh, D.: OSS4EVA: using open-source tools to fulfill digital preservation requirements (2016)
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- Date
- 28.10.2016 18:22:33
-
Priss, U.: Description logic and faceted knowledge representation (1999)
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- Date
- 22. 1.2016 17:30:31
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Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008)
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- Date
- 28.11.2016 12:43:22
- Source
- http://www.personal.psu.edu/faculty/f/u/fuf1/hermeneus/Hermeneus_architecture.pdf
-
Reiner, U.: Automatische DDC-Klassifizierung bibliografischer Titeldatensätze der Deutschen Nationalbibliografie (2009)
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- Abstract
- Das Klassifizieren von Objekten (z. B. Fauna, Flora, Texte) ist ein Verfahren, das auf menschlicher Intelligenz basiert. In der Informatik - insbesondere im Gebiet der Künstlichen Intelligenz (KI) - wird u. a. untersucht, inweit Verfahren, die menschliche Intelligenz benötigen, automatisiert werden können. Hierbei hat sich herausgestellt, dass die Lösung von Alltagsproblemen eine größere Herausforderung darstellt, als die Lösung von Spezialproblemen, wie z. B. das Erstellen eines Schachcomputers. So ist "Rybka" der seit Juni 2007 amtierende Computerschach-Weltmeistern. Inwieweit Alltagsprobleme mit Methoden der Künstlichen Intelligenz gelöst werden können, ist eine - für den allgemeinen Fall - noch offene Frage. Beim Lösen von Alltagsproblemen spielt die Verarbeitung der natürlichen Sprache, wie z. B. das Verstehen, eine wesentliche Rolle. Den "gesunden Menschenverstand" als Maschine (in der Cyc-Wissensbasis in Form von Fakten und Regeln) zu realisieren, ist Lenat's Ziel seit 1984. Bezüglich des KI-Paradeprojektes "Cyc" gibt es CycOptimisten und Cyc-Pessimisten. Das Verstehen der natürlichen Sprache (z. B. Werktitel, Zusammenfassung, Vorwort, Inhalt) ist auch beim intellektuellen Klassifizieren von bibliografischen Titeldatensätzen oder Netzpublikationen notwendig, um diese Textobjekte korrekt klassifizieren zu können. Seit dem Jahr 2007 werden von der Deutschen Nationalbibliothek nahezu alle Veröffentlichungen mit der Dewey Dezimalklassifikation (DDC) intellektuell klassifiziert.
Die Menge der zu klassifizierenden Veröffentlichungen steigt spätestens seit der Existenz des World Wide Web schneller an, als sie intellektuell sachlich erschlossen werden kann. Daher werden Verfahren gesucht, um die Klassifizierung von Textobjekten zu automatisieren oder die intellektuelle Klassifizierung zumindest zu unterstützen. Seit 1968 gibt es Verfahren zur automatischen Dokumentenklassifizierung (Information Retrieval, kurz: IR) und seit 1992 zur automatischen Textklassifizierung (ATC: Automated Text Categorization). Seit immer mehr digitale Objekte im World Wide Web zur Verfügung stehen, haben Arbeiten zur automatischen Textklassifizierung seit ca. 1998 verstärkt zugenommen. Dazu gehören seit 1996 auch Arbeiten zur automatischen DDC-Klassifizierung bzw. RVK-Klassifizierung von bibliografischen Titeldatensätzen und Volltextdokumenten. Bei den Entwicklungen handelt es sich unseres Wissens bislang um experimentelle und keine im ständigen Betrieb befindlichen Systeme. Auch das VZG-Projekt Colibri/DDC ist seit 2006 u. a. mit der automatischen DDC-Klassifizierung befasst. Die diesbezüglichen Untersuchungen und Entwicklungen dienen zur Beantwortung der Forschungsfrage: "Ist es möglich, eine inhaltlich stimmige DDC-Titelklassifikation aller GVK-PLUS-Titeldatensätze automatisch zu erzielen?"
- Date
- 22. 1.2010 14:41:24
-
Voß, J.: Classification of knowledge organization systems with Wikidata (2016)
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- Pages
- S.15-22
-
Atran, S.; Medin, D.L.; Ross, N.: Evolution and devolution of knowledge : a tale of two biologies (2004)
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- Content
- Vgl.: https://www.researchgate.net/publication/5090125_Evolution_and_Devolution_of_Knowledge_A_Tale_of_Two_Biologies. Vgl. auch: 10.1111/j.1467-9655.2004.00195.x.
- Date
- 23. 1.2022 10:22:18
-
Brand, O.; Stille, W.; Schachtner, J.: HeFDI - Die landesweite Initiative zum Aufbau von Forschungsdateninfrastrukturen in Hessen : Forschungsdaten-Policies an deutschen Universitäten (2018)
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