Search (35 results, page 1 of 2)

  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. 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.
  2. Almeida Campos, M.L. de; Machado Campos, M.L.; Dávila, A.M.R.; Espanha Gomes, H.; Campos, L.M.; Lira e Oliveira, L. de: Information sciences methodological aspects applied to ontology reuse tools : a study based on genomic annotations in the domain of trypanosomatides (2013) 0.02
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    Date
    22. 2.2013 12:03:53
  3. Ricci, F.; Schneider, R.: ¬Die Verwendung von SKOS-Daten zur semantischen Suchfragenerweiterung im Kontext des individualisierbaren Informationsportals RODIN (2010) 0.01
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    Content
    Der Ausgangspunkt für die Suchverfeinerung ist ein Ergebnis aus der Treffermenge, für welches ein Ontologie-Mapping durchgeführt wird, d.h. dass ausgehend von den Daten und Metadaten des Suchergebnisses der semantische Kontext für dieses Dokument innerhalb einer Ontologie ermittelt wird. Bei diesen Ontologien handelt es sich um in SKOS-Daten überführte Thesauri und Taxonomien, die aus einem bibliothekswissenschaftlichen Umfeld stammen. Durch Ermittlung des ontologischen Kontexts stehen eine Reihe von Termen in Form von Synonymen, Hypernymen und Hyponymen zur Verfügung, die es dem Benutzer ermöglichen, seine Ergebnismenge gezielt einzuschränken, zu verallgemeinern oder auf ähnliche Begriffe auszuweiten. Nach der Bestimmung des weiteren Suchkontexts wird dann in allen vom Benutzer bereits ausgewählten Widgets eine neue Suche angestoßen und das zur Suchverfeinerung ausgewählte Dokument in seiner semantischen Ausrichtung zu den übrigen Informationsquellen kontextualisiert."
  4. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.01
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    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
  5. Blobel, B.: Ontologies, knowledge representation, artificial intelligence : hype or prerequisite for international pHealth interoperability? (2011) 0.01
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    Source
    E-Health Across Borders Without Boundaries. E-salus trans confinia sine finibus; Proceedings of the ERMI Special Topic Conference 14-15 April 2011 Lasko, Slovenia. Eds.: L. Stoicu-Tivadar, Bernd Blobel et al
  6. Hajibayova, L.; Jacob, E.K.: ¬A theoretical framework for operationalizing basic level categories in knowledge organization research (2012) 0.01
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  7. Zhang, L.: Linking information through function (2014) 0.01
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  8. Sartori, F.; Grazioli, L.: Metadata guiding kowledge engineering : a practical approach (2014) 0.01
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  9. Wu, Y.; Yang, L.: Construction and evaluation of an oil spill semantic relation taxonomy for supporting knowledge discovery (2015) 0.01
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  10. Xu, Y.; Li, G.; Mou, L.; Lu, Y.: Learning non-taxonomic relations on demand for ontology extension (2014) 0.01
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  11. Deokattey, S.; Neelameghan, A.; Kumar, V.: ¬A method for developing a domain ontology : a case study for a multidisciplinary subject (2010) 0.01
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    Date
    22. 7.2010 19:41:16
  12. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010) 0.01
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  13. Madalli, D.P.; Balaji, B.P.; Sarangi, A.K.: Music domain analysis for building faceted ontological representation (2014) 0.01
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  14. Yu, L.-C.; Wu, C.-H.; Chang, R.-Y.; Liu, C.-H.; Hovy, E.H.: Annotation and verification of sense pools in OntoNotes (2010) 0.01
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  15. Aker, A.; Plaza, L.; Lloret, E.; Gaizauskas, R.: Do humans have conceptual models about geographic objects? : a user study (2013) 0.01
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  16. Jansen, L.: Four rules for classifying social entities (2014) 0.01
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  17. Ma, N.; Zheng, H.T.; Xiao, X.: ¬An ontology-based latent semantic indexing approach using long short-term memory networks (2017) 0.01
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    Source
    Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part I. Eds.: L. Chen et al
  18. Wenige, L.; Ruhland, J.: Similarity-based knowledge graph queries for recommendation retrieval (2019) 0.01
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  19. Hohmann, G.: ¬Die Anwendung des CIDOC-CRM für die semantische Wissensrepräsentation in den Kulturwissenschaften (2010) 0.01
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  20. Semenova, E.: Ontologie als Begriffssystem : Theoretische Überlegungen und ihre praktische Umsetzung bei der Entwicklung einer Ontologie der Wissenschaftsdisziplinen (2010) 0.01
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly

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