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  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2020 TO 2030}
  1. Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.03 
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    Date
    22. 5.2021 12:43:05
  2. Jia, J.: From data to knowledge : the relationships between vocabularies, linked data and knowledge graphs (2021) 0.02 
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    Date
    22. 1.2021 14:24:32
    Source
    Journal of documentation. 77(2021) no.1, S.93-105
  3. Hocker, J.; Schindler, C.; Rittberger, M.: Participatory design for ontologies : a case study of an open science ontology for qualitative coding schemas (2020) 0.01 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 72(2020) no.4, S.671-685
  4. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.00 
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    Abstract
    Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
    Source
    Journal of the Association for Information Science and Technology. 75(2023) no.2, S.167-187
  5. Kleineberg, M.: Classifying perspectives : expressing levels of knowing in the Integrative Levels Classification (2020) 0.00 
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    Pages
    S.489-493
  6. Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020) 0.00 
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    Pages
    S.455-459
  7. MacFarlane, A.; Missaoui, S.; Frankowska-Takhari, S.: On machine learning and knowledge organization in multimedia information retrieval (2020) 0.00 
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    Source
    Knowledge organization. 47(2020) no.1, S.45-55
  8. Auer, S.; Sens, I.; Stocker, M.: Erschließung wissenschaftlicher Literatur mit dem Open Research Knowledge Graph (2020) 0.00 
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    Source
    B.I.T. Online. 23(2020) H.5, S.491-499
  9. Bardhan, S.; Dutta, B.: ONCO: an ontology model for MOOC platforms (2022) 0.00 
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    Source
    Knowledge organization. 49(2022) no.8, S.563 - 576
  10. Ghosh, S.S.; Das, S.; Chatterjee, S.K.: Human-centric faceted approach for ontology construction (2020) 0.00 
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    Knowledge organization. 47(2020) no.1, S.31-44
  11. Peponakis, M.; Mastora, A.; Kapidakis, S.; Doerr, M.: Expressiveness and machine processability of Knowledge Organization Systems (KOS) : an analysis of concepts and relations (2020) 0.00 
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    Source
    International journal on digital libraries. 20(2020) no.4, S.433-452
  12. Pepper, S.; Arnaud, P.J.L.: Absolutely PHAB : toward a general model of associative relations (2020) 0.00 
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    ¬The Mental Lexicon. 15(2020) no.1, S.101-122
  13. Auer, S.; Oelen, A.; Haris, A.M.; Stocker, M.; D'Souza, J.; Farfar, K.E.; Vogt, L.; Prinz, M.; Wiens, V.; Jaradeh, M.Y.: Improving access to scientific literature with knowledge graphs : an experiment using library guidelines to judge information integrity (2020) 0.00 
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    Bibliothek: Forschung und Praxis. 44(2020) H.3, S.516-529
  14. Hudon, M.: Facet (2020) 0.00 
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    Source
    Knowledge organization. 47(2020) no.4, S.320-333
  15. Frey, J.; Streitmatter, D.; Götz, F.; Hellmann, S.; Arndt, N.: DBpedia Archivo : a Web-Scale interface for ontology archiving under consumer-oriented aspects (2020) 0.00 
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  16. Biagetti, M.T.: Ontologies as knowledge organization systems (2021) 0.00 
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    Source
    Knowledge organization. 48(2021) no.2, S.152-176
  17. Aizawa, A.; Kohlhase, M.: Mathematical information retrieval (2021) 0.00 
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    Pages
    S.169-185
  18. Simoes, G.; Machado, L.; Gnoli, C.; Souza, R.: Can an ontologically-oriented KO do without concepts? (2020) 0.00 
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    S.502-506
  19. Wei, W.; Liu, Y.-P.; Wei, L-R.: Feature-level sentiment analysis based on rules and fine-grained domain ontology (2020) 0.00 
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    Knowledge organization. 47(2020) no.2, S.105-121
  20. Banerjee, D.; Ghosh, S.S.; Mondal, T.M.: OnE : an ontology evaluation framework (2020) 0.00 
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    Knowledge organization. 47(2020) no.4, S.283-299

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