Search (93 results, page 4 of 5)

  • × type_ss:"el"
  • × year_i:[2010 TO 2020}
  1. Roth, G.; Gerhardt, V.; Flaßpöhler, S.: Wie flexibel ist mein Ich? : Dialog (2012) 0.01 
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    Date
    7. 5.2023 11:14:22
  2. Mandalka, M.: Open semantic search zum unabhängigen und datenschutzfreundlichen Erschliessen von Dokumenten (2015) 0.01 
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    Abstract
    Ob grösserer Leak oder Zusammenwürfeln oder (wieder) Erschliessen umfangreicherer (kollaborativer) Recherche(n) oder Archive: Immer öfter müssen im Journalismus größere Datenberge und Dokumentenberge erschlossen werden. In eine Suchmaschine integrierte Analyse-Tools helfen (halb)automatisch.
    Content
    "Open Semantic Desktop Search Zur Tagung des Netzwerk Recherche ist die Desktop Suchmaschine Open Semantic Desktop Search zum unabhängigen und datenschutzfreundlichen Erschliessen und Analysieren von Dokumentenbergen nun erstmals auch als deutschsprachige Version verfügbar. Dank mächtiger Open Source Basis kann die auf Debian GNU/Linux und Apache Solr basierende freie Software als unter Linux, Windows oder Mac lauffähige virtuelle Maschine kostenlos heruntergeladen, genutzt, weitergegeben und weiterentwickelt werden. Dokumentenberge erschliessen Ob grösserer Leak oder Zusammenwürfeln oder (wieder) Erschliessen umfangreicherer (kollaborativer) Recherche(n) oder Archive: Hin und wieder müssen größere Datenberge bzw. Dokumentenberge erschlossen werden, die so viele Dokumente enthalten, dass Mensch diese Masse an Dokumenten nicht mehr alle nacheinander durchschauen und einordnen kann. Auch bei kontinuierlicher Recherche zu Fachthemen sammeln sich mit der Zeit größere Mengen digitalisierter oder digitaler Dokumente zu grösseren Datenbergen an, die immer weiter wachsen und deren Informationen mit einer Suchmaschine für das Archiv leichter auffindbar bleiben. Moderne Tools zur Datenanalyse in Verbindung mit Enterprise Search Suchlösungen und darauf aufbauender Recherche-Tools helfen (halb)automatisch.
  3. Takhirov, N.; Aalberg, T.; Duchateau, F.; Zumer, M.: FRBR-ML: a FRBR-based framework for semantic interoperability (2012) 0.01 
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  4. RDA Toolkit (4) : Dezember 2017 (2017) 0.01 
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    Type
    n
  5. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.01 
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    Date
    26.12.2011 13:40:22
  6. Firnkes, M.: Schöne neue Welt : der Content der Zukunft wird von Algorithmen bestimmt (2015) 0.01 
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    Date
    5. 7.2015 22:02:31
  7. Franke, F.: ¬Das Framework for Information Literacy : neue Impulse für die Förderung von Informationskompetenz in Deutschland?! (2017) 0.01 
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    Source
    o-bib: Das offene Bibliotheksjournal. 4(2017) Nr.4, S.22-29
  8. Delsey, T.: ¬The Making of RDA (2016) 0.01 
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    Date
    17. 5.2016 19:22:40
  9. Treude, L.: ¬Das Problem der Konzeptdefinition in der Wissensorganisation : über einen missglückten Versuch der Klärung (2013) 0.01 
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    Source
    LIBREAS: Library ideas. no.22, 2013, S.xx-xx
  10. Knoll, A.: Kompetenzprofil von Information Professionals in Unternehmen (2016) 0.01 
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    Date
    28. 7.2016 16:22:54
  11. Voß, J.: Classification of knowledge organization systems with Wikidata (2016) 0.01 
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    Pages
    S.15-22
  12. Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.01 
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    Date
    22. 2.2017 12:53:49
  13. Kluge, A.; Singer, W.: ¬Das Gehirn braucht so viel Strom wie die Glühbirne (2012) 0.01 
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    Date
    22. 2.2018 18:10:21
  14. Strecker, D.: Nutzung der Schattenbibliothek Sci-Hub in Deutschland (2019) 0.01 
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    Date
    1. 1.2020 13:22:34
  15. Nagy T., I.: Detecting multiword expressions and named entities in natural language texts (2014) 0.01 
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    Abstract
    Multiword expressions (MWEs) are lexical items that can be decomposed into single words and display lexical, syntactic, semantic, pragmatic and/or statistical idiosyncrasy (Sag et al., 2002; Kim, 2008; Calzolari et al., 2002). The proper treatment of multiword expressions such as rock 'n' roll and make a decision is essential for many natural language processing (NLP) applications like information extraction and retrieval, terminology extraction and machine translation, and it is important to identify multiword expressions in context. For example, in machine translation we must know that MWEs form one semantic unit, hence their parts should not be translated separately. For this, multiword expressions should be identified first in the text to be translated. The chief aim of this thesis is to develop machine learning-based approaches for the automatic detection of different types of multiword expressions in English and Hungarian natural language texts. In our investigations, we pay attention to the characteristics of different types of multiword expressions such as nominal compounds, multiword named entities and light verb constructions, and we apply novel methods to identify MWEs in raw texts. In the thesis it will be demonstrated that nominal compounds and multiword amed entities may require a similar approach for their automatic detection as they behave in the same way from a linguistic point of view. Furthermore, it will be shown that the automatic detection of light verb constructions can be carried out using two effective machine learning-based approaches.
  16. Open MIND (2015) 0.01 
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    Date
    27. 1.2015 11:48:22
  17. 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) 0.01 
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    Date
    28.10.2016 18:22:33
  18. 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) 0.01 
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    Date
    19. 8.2017 9:24:22
  19. Laßmann, G.: Asimovs Robotergesetze : was leisten sie wirklich? (2017) 0.01 
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    Date
    21. 1.2018 19:02:22
  20. Förderung von Informationsinfrastrukturen für die Wissenschaft : Ein Positionspapier der Deutschen Forschungsgemeinschaft (2018) 0.01 
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    Date
    22. 3.2018 17:30:43

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