Search (46 results, page 1 of 3)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.07 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:17:40
  2. Salaba, A.; Zeng, M.L.: Extending the "Explore" user task beyond subject authority data into the linked data sphere (2014) 0.04 
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    Date
    4. 9.2014 14:11:40
    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
  3. Mlodzka-Stybel, A.: Towards continuous improvement of users' access to a library catalogue (2014) 0.04 
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    4. 9.2014 14:11:40
    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
  4. Zeng, M.L.; Gracy, K.F.; Zumer, M.: Using a semantic analysis tool to generate subject access points : a study using Panofsky's theory and two research samples (2014) 0.04 
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    Date
    4. 9.2014 14:11:40
    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
  5. Gillitzer, B.: Yewno (2017) 0.02 
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    Abstract
    "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
  6. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.02 
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    Date
    30. 3.2001 13:32:22
  7. Robertson, S.E.: On relevance weight estimation and query expansion (1986) 0.02 
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    Date
    30. 3.2001 13:45:40
  8. Rekabsaz, N. et al.: Toward optimized multimodal concept indexing (2016) 0.01 
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    Date
    1. 2.2016 18:25:22
  9. Kozikowski, P. et al.: Support of part-whole relations in query answering (2016) 0.01 
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    Date
    1. 2.2016 18:25:22
  10. Marx, E. et al.: Exploring term networks for semantic search over RDF knowledge graphs (2016) 0.01 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  11. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.01 
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    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  12. Sacco, G.M.: Dynamic taxonomies and guided searches (2006) 0.01 
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    Date
    22. 7.2006 17:56:22
  13. Lobin, H.; Witt, A.: Semantic and thematic navigation in electronic encyclopedias (1999) 0.01 
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    Date
    21. 6.2002 8:40:16
  14. Atanassova, I.; Bertin, M.: Semantic facets for scientific information retrieval (2014) 0.01 
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    Date
    30. 9.2018 9:40:16
  15. Efthimiadis, E.N.: End-users' understanding of thesaural knowledge structures in interactive query expansion (1994) 0.01 
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    Date
    30. 3.2001 13:35:22
  16. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.01 
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    Abstract
    The Smart information retrieval project emphazises completely automatic approaches to the understanding and retrieval of large quantities of text. The work in the TREC-2 environment continues, performing both routing and ad hoc experiments. The ad hoc work extends investigations into combining global similarities, giving an overall indication of how a document matches a query, with local similarities identifying a smaller part of the document that matches the query. The performance of ad hoc runs is good, but it is clear that full advantage of the available local information is not been taken advantage of. The routing experiments use conventional relevance feedback approaches to routing, but with a much greater degree of query expansion than was previously done. The length of a query vector is increased by a factor of 5 to 10 by adding terms found in previously seen relevant documents. This approach improves effectiveness by 30-40% over the original query
  17. Rahmstorf, G.: Integriertes Management inhaltlicher Datenarten (2001) 0.01 
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    Date
    16. 5.2001 11:15:40
  18. Khan, M.S.; Khor, S.: Enhanced Web document retrieval using automatic query expansion (2004) 0.01 
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    Source
    Journal of the American Society for Information Science and technology. 55(2004) no.1, S.29-40
  19. Gradmann, S.; Olensky, M.: Semantische Kontextualisierung von Museumsbeständen in Europeana (2013) 0.01 
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    Date
    24.12.2009 14:16:40
  20. Wang, Z.; Khoo, C.S.G.; Chaudhry, A.S.: Evaluation of the navigation effectiveness of an organizational taxonomy built on a general classification scheme and domain thesauri (2014) 0.01 
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    Date
    1. 5.2014 17:36:40

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