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  1. Forero, D.; Peterson, N.; Hamilton, A.: Building an institutional author search tool (2019) 0.02 
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  2. Fecher, B.; Sokolovska, N.; Friesike, S.; Wagner, G.G.: Governance von Forschungsinfrastruktur am Beispiel von Open Access : Oligopolisierung des Verlagswesens, Plattformisierung der wissenschaftlichen Kommunikation (2019) 0.02 
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  3. Liu, P.J.; Saleh, M.; Pot, E.; Goodrich, B.; Sepassi, R.; Kaiser, L.; Shazeer, N.: Generating Wikipedia by summarizing long sequences (2018) 0.02 
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  4. Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.02 
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    Date
    22. 2.2017 12:51:57
  5. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.02 
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    Date
    13.12.2017 14:17:22
  6. Schönherr, M.: Bestechend brillant : die Schönheit der Algorithmen (2016) 0.02 
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    Date
    10. 2.2016 17:22:23
  7. Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.02 
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    Content
    Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
    Date
    22. 2.2017 13:00:42
  8. Nandzik, J.; Heß, A.; Hannemann, J.; Flores-Herr, N.; Bossert, K.: CONTENTUS: Towards Semantic Multimedia Libraries (2010) 0.01 
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  9. Bold, N.; Kim, W.-J.; Yang, J.-D.: Converting object-based thesauri into XML Topic Maps (2010) 0.01 
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  10. Perovsek, M.; Kranjca, J.; Erjaveca, T.; Cestnika, B.; Lavraca, N.: TextFlows : a visual programming platform for text mining and natural language processing (2016) 0.01 
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  11. Le Boeuf, P.; Riva, P.; Zumer, M.: FRBR - Library Reference Model : draft for World-Wide Review (2016) 0.01 
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    Type
    n
  12. Moore, D.; Mealey, N.: Consortial-based customizations for new Primo UI (2016) 0.01 
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  13. Suominen, O.; Hyvönen, N.: From MARC silos to Linked Data silos? (2017) 0.01 
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  14. Wu, Y.; Bai, R.: ¬An event relationship model for knowledge organization and visualization (2017) 0.01 
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    Abstract
    An event is a specific occurrence involving participants, which is a typed, n-ary association of entities or other events, each identified as a participant in a specific semantic role in the event (Pyysalo et al. 2012; Linguistic Data Consortium 2005). Event types may vary across domains. Representing relationships between events can facilitate the understanding of knowledge in complex systems (such as economic systems, human body, social systems). In the simplest form, an event can be represented as Entity A <Relation> Entity B. This paper evaluates several knowledge organization and visualization models and tools, such as concept maps (Cmap), topic maps (Ontopia), network analysis models (Gephi), and ontology (Protégé), then proposes an event relationship model that aims to integrate the strengths of these models, and can represent complex knowledge expressed in events and their relationships.
  15. RDA Toolkit (2) : August 2017 (2017) 0.01 
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  16. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01 
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    Abstract
    This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  17. Hartmann, S.; Haffner, A.: Linked-RDA-Data in der Praxis (2010) 0.01 
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    Date
    13. 2.2011 20:22:23
  18. Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011) 0.01 
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    Date
    15. 3.2011 19:21:22
  19. Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.01 
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    Date
    16.11.2015 18:22:47
  20. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.01 
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    Date
    17.12.2013 11:02:22

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