Search (21 results, page 1 of 2)

  • × theme_ss:"Automatisches Indexieren"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Hauer, M.: Tiefenindexierung im Bibliothekskatalog : 17 Jahre intelligentCAPTURE (2019) 0.06 
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    Source
    B.I.T.online. 22(2019) H.2, S.163-166
  2. Stankovic, R. et al.: Indexing of textual databases based on lexical resources : a case study for Serbian (2016) 0.02 
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    Date
    1. 2.2016 18:25:22
  3. Kasprzik, A.: Voraussetzungen und Anwendungspotentiale einer präzisen Sacherschließung aus Sicht der Wissenschaft (2018) 0.01 
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    Abstract
    Große Aufmerksamkeit richtet sich im Moment auf das Potential von automatisierten Methoden in der Sacherschließung und deren Interaktionsmöglichkeiten mit intellektuellen Methoden. In diesem Kontext befasst sich der vorliegende Beitrag mit den folgenden Fragen: Was sind die Anforderungen an bibliothekarische Metadaten aus Sicht der Wissenschaft? Was wird gebraucht, um den Informationsbedarf der Fachcommunities zu bedienen? Und was bedeutet das entsprechend für die Automatisierung der Metadatenerstellung und -pflege? Dieser Beitrag fasst die von der Autorin eingenommene Position in einem Impulsvortrag und der Podiumsdiskussion beim Workshop der FAG "Erschließung und Informationsvermittlung" des GBV zusammen. Der Workshop fand im Rahmen der 22. Verbundkonferenz des GBV statt.
  4. Franke-Maier, M.: Anforderungen an die Qualität der Inhaltserschließung im Spannungsfeld von intellektuell und automatisch erzeugten Metadaten (2018) 0.01 
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    Abstract
    Spätestens seit dem Deutschen Bibliothekartag 2018 hat sich die Diskussion zu den automatischen Verfahren der Inhaltserschließung der Deutschen Nationalbibliothek von einer politisch geführten Diskussion in eine Qualitätsdiskussion verwandelt. Der folgende Beitrag beschäftigt sich mit Fragen der Qualität von Inhaltserschließung in digitalen Zeiten, wo heterogene Erzeugnisse unterschiedlicher Verfahren aufeinandertreffen und versucht, wichtige Anforderungen an Qualität zu definieren. Dieser Tagungsbeitrag fasst die vom Autor als Impulse vorgetragenen Ideen beim Workshop der FAG "Erschließung und Informationsvermittlung" des GBV am 29. August 2018 in Kiel zusammen. Der Workshop fand im Rahmen der 22. Verbundkonferenz des GBV statt.
  5. Busch, D.: Domänenspezifische hybride automatische Indexierung von bibliographischen Metadaten (2019) 0.01 
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    Source
    B.I.T.online. 22(2019) H.6, S.465-469
  6. Bredack, J.; Lepsky, K.: Automatische Extraktion von Fachterminologie aus Volltexten (2014) 0.01 
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    Date
    2. 5.2014 11:09:35
    Source
    ABI-Technik. 34(2014) H.1, S.2-8
  7. 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
  8. Golub, K.: Automatic subject indexing of text (2019) 0.01 
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    Content
    DOI:10. 5771/0943-7444-2019-2-104.
    Date
    2. 9.2014 19:19:40
    Source
    Knowledge organization. 46(2019) no.2, S.104-121
  9. Martins, A.L.; Souza, R.R.; Ribeiro de Mello, H.: ¬The use of noun phrases in information retrieval : proposing a mechanism for automatic classification (2014) 0.01 
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    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
  10. Mesquita, L.A.P.; Souza, R.R.; Baracho Porto, R.M.A.: Noun phrases in automatic indexing: : a structural analysis of the distribution of relevant terms in doctoral theses (2014) 0.01 
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    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
  11. Greiner-Petter, A.; Schubotz, M.; Cohl, H.S.; Gipp, B.: Semantic preserving bijective mappings for expressions involving special functions between computer algebra systems and document preparation systems (2019) 0.01 
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    Date
    20. 1.2015 18:30:22
  12. Kempf, A.O.: Automatische Inhaltserschließung in der Fachinformation (2013) 0.01 
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    Content
    Vgl.: http://www.degruyter.com/view/j/iwp.2013.64.issue-2-3/iwp-2013-0011/iwp-2013-0011.xml?format=INT.
    Source
    Information - Wissenschaft und Praxis. 64(2013) H.2/3, S.96-106
  13. Kempf, A.O.: Automatische Indexierung in der sozialwissenschaftlichen Fachinformation : eine Evaluationsstudie zur maschinellen Erschließung für die Datenbank SOLIS (2012) 0.01 
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    Content
    Vgl.: https://edoccluster.cms.hu-berlin.de/docviews/abstract.php?lang=ger&id=39543; http://http://edoc.hu-berlin.de/series/berliner-handreichungen/2012-329/PDF/329.pdf. Vgl. auch den Beitrag in: iwp 64(2013) H.2/3, S. 96-106.
  14. Fauzi, F.; Belkhatir, M.: Multifaceted conceptual image indexing on the world wide web (2013) 0.01 
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    Source
    Information processing and management. 49(2013) no.2, S.420-440
  15. Gil-Leiva, I.: SISA-automatic indexing system for scientific articles : experiments with location heuristics rules versus TF-IDF rules (2017) 0.01 
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    Date
    2. 9.2014 19:19:40
  16. Beckmann, R.; Hinrichs, I.; Janßen, M.; Milmeister, G.; Schäuble, P.: ¬Der Digitale Assistent DA-3 : Eine Plattform für die Inhaltserschließung (2019) 0.01 
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    Abstract
    Der "Digitale Assistent" DA-3 ist ein webbasiertes Tool zur maschinellen Unterstützung der intellektuellen verbalen und klassifikatorischen Inhaltserschließung. Im Frühjahr 2016 wurde einer breiteren Fachöffentlichkeit die zunächst für den Einsatz im IBS|BW-Konsortium konzipierte Vorgängerversion DA-2 vorgestellt. Die Community nahm die Entwicklung vor dem Hintergrund der strategischen Diskussionen um zukunftsfähige Verfahren der Inhaltserschließung mit großem Interesse auf. Inzwischen wird das Tool in einem auf drei Jahre angelegten Kooperationsprojekt zwischen der Firma Eurospider Information Technology, dem IBS|BW-Konsortium, der Staatsbibliothek zu Berlin und den beiden Verbundzentralen VZG und BSZ zu einem zentralen und leistungsstarken Service weiterentwickelt. Die ersten Anwenderbibliotheken in SWB und GBV setzen den DA-3 während dieser Projektphase bereits erfolgreich ein, am Ende ist die Überführung in den Routinebetrieb vorgesehen. Der Beitrag beschreibt den derzeitigen Stand und Nutzen des Projekts im Kontext der aktuellen Rahmenbedingungen, stellt ausführlich die Funktionalitäten des DA-3 vor, gibt einen kleinen Einblick hinter die Kulissen der Projektpartner und einen Ausblick auf kommende Entwicklungsschritte.
  17. Toepfer, M.; Kempf, A.O.: Automatische Indexierung auf Basis von Titeln und Autoren-Keywords : ein Werkstattbericht (2016) 0.00 
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    Source
    027.7 Zeitschrift für Bibliothekskultur. 4(2016), H.2
  18. Blank, I.; Rokach, L.; Shani, G.: Leveraging metadata to recommend keywords for academic papers (2016) 0.00 
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    Abstract
    Users of research databases, such as CiteSeerX, Google Scholar, and Microsoft Academic, often search for papers using a set of keywords. Unfortunately, many authors avoid listing sufficient keywords for their papers. As such, these applications may need to automatically associate good descriptive keywords with papers. When the full text of the paper is available this problem has been thoroughly studied. In many cases, however, due to copyright limitations, research databases do not have access to the full text. On the other hand, such databases typically maintain metadata, such as the title and abstract and the citation network of each paper. In this paper we study the problem of predicting which keywords are appropriate for a research paper, using different methods based on the citation network and available metadata. Our main goal is in providing search engines with the ability to extract keywords from the available metadata. However, our system can also be used for other applications, such as for recommending keywords for the authors of new papers. We create a data set of research papers, and their citation network, keywords, and other metadata, containing over 470K papers with and more than 2 million keywords. We compare our methods with predicting keywords using the title and abstract, in offline experiments and in a user study, concluding that the citation network provides much better predictions.
  19. Smiraglia, R.P.; Cai, X.: Tracking the evolution of clustering, machine learning, automatic indexing and automatic classification in knowledge organization (2017) 0.00 
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    Date
    2. 9.2014 19:19:40
  20. Wang, S.; Koopman, R.: Embed first, then predict (2019) 0.00 
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