Search (75 results, page 1 of 4)

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  • × theme_ss:"Wissensrepräsentation"
  1. Giunchiglia, F.; Villafiorita, A.; Walsh, T.: Theories of abstraction (1997) 0.06
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    Date
    1.10.2018 14:13:22
  2. Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006) 0.04
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    Date
    3.12.2016 18:39:22
  3. Järvelin, K.; Kristensen, J.; Niemi, T.; Sormunen, E.; Keskustalo, H.: ¬A deductive data model for query expansion (1996) 0.04
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    Source
    Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR '96), Zürich, Switzerland, August 18-22, 1996. Eds.: H.P. Frei et al
  4. Kiren, T.; Shoaib, M.: ¬A novel ontology matching approach using key concepts (2016) 0.03
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    Date
    20. 1.2015 18:30:22
  5. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.03
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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.
  6. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.03
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  7. Bandholtz, T.; Schulte-Coerne, T.; Glaser, R.; Fock, J.; Keller, T.: iQvoc - open source SKOS(XL) maintenance and publishing tool (2010) 0.02
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  8. Zeh, T.: Ontologien in den Informationswissenschaften (2011) 0.02
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    Footnote
    Vgl.: http://www.ontoport.org/alfresco -> "My Home"; http://www.xing.com/t/de/ONTOLOGIEN
  9. Sandkühler, H.J.: Epistemologischer Realismus und die Wirklichkeit des Wissens : eine Verteidigung der Philosophie des Geistes gegen Naturalismus und Reduktionismus (1992) 0.02
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    Footnote
    Stellungnahmen dazu von D. Pätzold, T. Metscher u. G. Pasternack
  10. Witte, R.; Krestel, R.; Kappler, T.; Lockemann, P.C.: Converting a historical architecture encyclopedia into a semantic knowledge base 0.02
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  11. Wang, H.; Liu, Q.; Penin, T.; Fu, L.; Zhang, L.; Tran, T.; Yu, Y.; Pan, Y.: Semplore: a scalable IR approach to search the Web of Data (2009) 0.02
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  12. Derntl, M.; Hampel, T.; Motschnig, R.; Pitner, T.: Social Tagging und Inclusive Universal Access (2008) 0.02
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  13. Hanke, P.; Mandl, T.; Womser-Hacker, C.: ¬Ein "Virtuelles Bibliotheksregal" für die Informationswissenschaft als Anwendungsfall semantischer Heterogenität (2002) 0.02
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  14. Reif, G.: Semantische Annotation (2006) 0.02
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    Source
    Semantic Web: Wege zur vernetzten Wissensgesellschaft. Hrsg.: T. Pellegrini, u. A. Blumauer
  15. Hausenblas, M.: Anreicherung von Webinhalten mit Semantik : Microformats und RDFa (2009) 0.02
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    Source
    Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
  16. Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013) 0.02
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  17. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.02
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    Pages
    S.11-22
  18. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.02
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    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
  19. Branch, F.; Arias, T.; Kennah, J.; Phillips, R.; Windleharth, T.; Lee, J.H.: Representing transmedia fictional worlds through ontology (2017) 0.01
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  20. Harbig, D.; Schneider, R.: Ontology Learning im Rahmen von MyShelf (2006) 0.01
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    Source
    Effektive Information Retrieval Verfahren in Theorie und Praxis: ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005. Hrsg.: T. Mandl u. C. Womser-Hacker

Years

Languages

  • e 55
  • d 20