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  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Gillitzer, B.: Yewno (2017) 0.02 
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    Abstract
    Yewno findet Themen und Konzepte (Suchbegriffe und ihre Abstraktionen) in englischsprachigen digitalen Texten mit Methoden des maschinellen Lernens und der künstlichen Intelligenz. Als Ergebnis Ihrer Suchanfrage werden die Konzepte, die Ihre Anfrage betreffen, in vielfältigen sachlichen Beziehungen als graphisches Netzwerk präsentiert, über das Sie einfach navigieren können. Auch versteckte thematische Beziehungen werden hier sichtbar gemacht, die vom Bekannten zu neuen Entdeckungen führen. Im Rahmen einer Pilotphase können Sie über einen interdisziplinären Ausschnitt aus aktuellen englischsprachigen Fachzeitschriften verschiedenster Fachgebiete recherchieren. Die zu den Themen gehörigen Artikel werden in Ausschnitten unmittelbar angezeigt und können in den meisten Fällen direkt als Volltext aufgerufen werden.
    "Die Bayerische Staatsbibliothek testet den semantischen "Discovery Service" Yewno als zusätzliche thematische Suchmaschine für digitale Volltexte. Der Service ist unter folgendem Link erreichbar: https://www.bsb-muenchen.de/recherche-und-service/suchen-und-finden/yewno/. Das Identifizieren von Themen, um die es in einem Text geht, basiert bei Yewno alleine auf Methoden der künstlichen Intelligenz und des maschinellen Lernens. Dabei werden sie nicht - wie bei klassischen Katalogsystemen - einem Text als Ganzem zugeordnet, sondern der jeweiligen Textstelle. Die Eingabe eines Suchwortes bzw. Themas, bei Yewno "Konzept" genannt, führt umgehend zu einer grafischen Darstellung eines semantischen Netzwerks relevanter Konzepte und ihrer inhaltlichen Zusammenhänge. So ist ein Navigieren über thematische Beziehungen bis hin zu den Fundstellen im Text möglich, die dann in sogenannten Snippets angezeigt werden. In der Test-Anwendung der Bayerischen Staatsbibliothek durchsucht Yewno aktuell 40 Millionen englischsprachige Dokumente aus Publikationen namhafter Wissenschaftsverlage wie Cambridge University Press, Oxford University Press, Wiley, Sage und Springer, sowie Dokumente, die im Open Access verfügbar sind. Nach der dreimonatigen Testphase werden zunächst die Rückmeldungen der Nutzer ausgewertet. Ob und wann dann der Schritt von der klassischen Suchmaschine zum semantischen "Discovery Service" kommt und welche Bedeutung Anwendungen wie Yewno in diesem Zusammenhang einnehmen werden, ist heute noch nicht abzusehen. Die Software Yewno wurde vom gleichnamigen Startup in Zusammenarbeit mit der Stanford University entwickelt, mit der auch die Bayerische Staatsbibliothek eng kooperiert. [Inetbib-Posting vom 22.02.2017].
    Date
    22. 2.2017 10:16:49
  2. Nagao, M.: Knowledge and inference (1990) 0.01 
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    RSWK
    Inferenz <Künstliche Intelligenz> / Wissensrepräsentation
    Subject
    Inferenz <Künstliche Intelligenz> / Wissensrepräsentation
  3. Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013) 0.01 
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    BK
    54.72 Künstliche Intelligenz
    Classification
    54.72 Künstliche Intelligenz
  4. Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.00 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:17:40
  5. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.00 
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    Date
    30. 3.2001 13:32:22
  6. Ross, J.: ¬A new way of information retrieval : 3-D indexing and concept mapping (2000) 0.00 
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    Date
    25. 2.1997 10:29:16
  7. Shiri, A.A.; Revie, C.; Chowdhury, G.: Thesaurus-enhanced search interfaces (2002) 0.00 
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    Date
    18. 5.2002 17:29:00
  8. Shiri, A.A.; Revie, C.: ¬The effects of topic complexity and familiarity on cognitive and physical moves in a thesaurus-enhanced search environment (2003) 0.00 
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    Source
    Journal of information science. 29(2003) no.6, S.517-
  9. Stojanovic, N.: On the query refinement in the ontology-based searching for information (2005) 0.00 
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    Date
    5. 4.1996 15:29:15
  10. Rekabsaz, N. et al.: Toward optimized multimodal concept indexing (2016) 0.00 
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    Date
    1. 2.2016 18:25:22
  11. Kozikowski, P. et al.: Support of part-whole relations in query answering (2016) 0.00 
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    Date
    1. 2.2016 18:25:22
  12. Marx, E. et al.: Exploring term networks for semantic search over RDF knowledge graphs (2016) 0.00 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  13. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.00 
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    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  14. Sacco, G.M.: Dynamic taxonomies and guided searches (2006) 0.00 
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    Date
    22. 7.2006 17:56:22
  15. Jarvelin, K.: ¬A deductive data model for thesaurus navigation and query expansion (1996) 0.00 
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    Date
    2. 3.1997 17:29:07
  16. Sacco, G.M.: Accessing multimedia infobases through dynamic taxonomies (2004) 0.00 
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    Date
    29. 8.2004 10:15:02
  17. Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013) 0.00 
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    Date
    29. 9.2015 18:56:44
  18. Efthimiadis, E.N.: End-users' understanding of thesaural knowledge structures in interactive query expansion (1994) 0.00 
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    Date
    30. 3.2001 13:35:22
  19. Frederichs, A.: Natürlichsprachige Abfrage und 3-D-Visualisierung von Wissenszusammenhängen (2007) 0.00 
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    Date
    25.10.2007 9:51:29
    Source
    Wa(h)re Information: 29. Österreichischer Bibliothekartag Bregenz, 19.-23.9.2006. Hrsg.: Harald Weigel
  20. Atanassova, I.; Bertin, M.: Semantic facets for scientific information retrieval (2014) 0.00 
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    Source
    Semantic Web Evaluation Challenge. SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Eds.: V. Presutti et al

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  • d 9
  • f 1
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  • el 5
  • m 3
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