Search (47 results, page 1 of 3)

  • × theme_ss:"Automatisches Indexieren"
  • × type_ss:"a"
  1. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.03 
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    Date
    14. 6.2015 22:12:56
    Source
    Automatische Indexierung zwischen Forschung und Anwendung, Hrsg.: G. Lustig
  2. Taylor, S.L.: Integrating natural language understanding with document structure analysis (1994) 0.01 
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    Abstract
    Document understanding, the interpretation of a document from its image form, is a technology area which benefits greatly from the integration of natural language processing with image processing. Develops a prototype of an Intelligent Document Understanding System (IDUS) which employs several technologies: image processing, optical character recognition, document structure analysis and text understanding in a cooperative fashion. Discusses those areas of research during development of IDUS where it is found that the most benefit from the integration of natural language processing and image processing occured: document structure analysis, OCR correction, and text analysis. Discusses 2 applications which are supported by IDUS: text retrieval and automatic generation of hypertext links
  3. Milstead, J.L.: Thesauri in a full-text world (1998) 0.01 
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    Date
    22. 9.1997 19:16:05
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  4. Donahue, J.; Hendricks, L.A.; Guadarrama, S.; Rohrbach, M.; Venugopalan, S.; Saenko, K.; Darrell, T.: Long-term recurrent convolutional networks for visual recognition and description (2014) 0.01 
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    Abstract
    Models based on deep convolutional networks have dominated recent image interpretation tasks; we investigate whether models which are also recurrent, or "temporally deep", are effective for tasks involving sequences, visual and otherwise. We develop a novel recurrent convolutional architecture suitable for large-scale visual learning which is end-to-end trainable, and demonstrate the value of these models on benchmark video recognition tasks, image description and retrieval problems, and video narration challenges. In contrast to current models which assume a fixed spatio-temporal receptive field or simple temporal averaging for sequential processing, recurrent convolutional models are "doubly deep" in that they can be compositional in spatial and temporal "layers". Such models may have advantages when target concepts are complex and/or training data are limited. Learning long-term dependencies is possible when nonlinearities are incorporated into the network state updates. Long-term RNN models are appealing in that they directly can map variable-length inputs (e.g., video frames) to variable length outputs (e.g., natural language text) and can model complex temporal dynamics; yet they can be optimized with backpropagation. Our recurrent long-term models are directly connected to modern visual convnet models and can be jointly trained to simultaneously learn temporal dynamics and convolutional perceptual representations. Our results show such models have distinct advantages over state-of-the-art models for recognition or generation which are separately defined and/or optimized.
  5. Biebricher, P.; Fuhr, N.; Knorz, G.; Lustig, G.; Schwandtner, M.: Entwicklung und Anwendung des automatischen Indexierungssystems AIR/PHYS (1988) 0.01 
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    Abstract
    Seit 1985 wird das automatische Indexierungssystem AIR/PHYS in der Inputproduktion der Physik-Datenbank PHYS des Fachinformationszentrums Karlsruhe angewandt. Das AIR/PHYS-System teilt englischsprachigen Referatetexten Deskriptoren aus einem vorgeschriebenen Vokabular zu. In der vorliegenden Arbeit werden der zugrundeliegende fehlertolerierende Ansatz, der Aufbau des Systems und die wichtigsten Verfahren zur Entwicklung eines großen Indexierungswörterbuches beschrieben. Ferner werden Probleme der Anwendung und Weiterentwicklung des Systems behandelt
  6. Thönssen, B.: Automatische Indexierung und Schnittstellen zu Thesauri (1988) 0.01 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  7. Biebricher, P.; Fuhr, N.; Niewelt, B.: ¬Der AIR-Retrievaltest (1986) 0.01 
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    Source
    Automatische Indexierung zwischen Forschung und Anwendung, Hrsg.: G. Lustig
  8. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.01 
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  9. Panyr, J.: Vektorraum-Modell und Clusteranalyse in Information-Retrieval-Systemen (1987) 0.01 
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    Abstract
    Ausgehend von theoretischen Indexierungsansätzen wird das klassische Vektorraum-Modell für automatische Indexierung (mit dem Trennschärfen-Modell) erläutert. Das Clustering in Information-Retrieval-Systemem wird als eine natürliche logische Folge aus diesem Modell aufgefaßt und in allen seinen Ausprägungen (d.h. als Dokumenten-, Term- oder Dokumenten- und Termklassifikation) behandelt. Anschließend werden die Suchstrategien in vorklassifizierten Dokumentenbeständen (Clustersuche) detailliert beschrieben. Zum Schluß wird noch die sinnvolle Anwendung der Clusteranalyse in Information-Retrieval-Systemen kurz diskutiert
  10. Lepsky, K.: Auf dem Weg zur automatischen Inhaltserschließung? : Das DFG-Projekt MILOS und seine Ergebnisse (1997) 0.01 
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    Abstract
    Der Beitrag beschäftigt sich mit der Anwendung eines Verfahrens zur Automatischen Indexierung von Titeldaten in Bibliotheken. Die Arbeitsweise des Verfahrens und seine Nutzung innerhalb des von der Deutschen Forschungsgemeinschaft geförderten und an der Universitäts- und Landesbibliothek Düsseldorf durchgeführten Projekts MILOS werden geschildert. Die Ergebnisse eines Retrievaltests belegen die Tauglichkeit des Verfahrens für den Einsatz in Bibliotheken. Aufbauend auf diesen Ergebnissen werden Perspektiven für eine sinnvolle Verbindung von konventioneller bibliothekarischer Sacherschließung und automatischen Verfahren entworfen
  11. Lepsky, K.: Automatische Indexierung zur Erschließung deutschsprachiger Dokumente (1999) 0.01 
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    Abstract
    Der Beitrag beschäftigt sich mit der Anwendung eines Verfahrens zur automatischen Indexierung deutschsprachiger Texte in Bibliotheken. Die Arbeitsweise des Verfahrens und seine Entwicklung innerhalb der von der Deutschen Forschungsgemeinschaft geförderte und an der ULB Düsseldorf gemeinsam mit der Fachrichtung Informationswissenschaft der Universität des Saarlandes durchgeführten Projekte MILOS I, MILOS II und KASCADE werden geschildert. Die Ergebnisse von Retrievaltests belegen die Tauglichkeit des Verfahrens für den Einsatz in Bibliotheken. Aufsetzend auf diesen Ergebnissen werden Perspektiven für die bibliothekarische Sacherschließung im Hinblick auf den Einsatz von automatischen Verfahren entworfen
  12. Stock, W.G.: Textwortmethode : Norbert Henrichs zum 65. (3) (2000) 0.01 
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    Abstract
    Nur wenige Dokumentationsmethoden werden mit dem Namen ihrer Entwickler assoziiert. Ausnahmen sind Melvil Dewey (DDC), S.R. Ranganathan (Colon Classification) - und Norbert Henrichs. Seine Textwortmethode ermöglicht die Indexierung und das Retrieval von Literatur aus Fachgebieten, die keine allseits akzeptierte Fachterminologie vorweisen, also viele Sozial- und Geisteswissenschaften, vorneweg die Philosophie. Für den Einsatz in der elektronischen Philosophie-Dokumentation hat Henrichs in den späten sechziger Jahren die Textwortmethode entworfen. Er ist damit nicht nur einer der Pioniere der Anwendung der elektronischen Datenverarbeitung in der Informationspraxis, sondern auch der Pionier bei der Dokumentation terminologisch nicht starrer Fachsprachen
  13. Zimmermann, H.H.: Automatische Indexierung und elektronische Thesauri (1996) 0.01 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  14. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.01 
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    Date
    20.10.2000 12:22:23
  15. Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.01 
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    Source
    Information outlook. 9(2005) no.8, S.22-23
  16. Liedloff, V.: Anwendung eines existenten Klassifikationssystems im Bereich der computerunterstützten Inhaltsanalyse (1985) 0.00 
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  17. Siebenkäs, A.; Markscheffel, B.: Conception of a workflow for the semi-automatic construction of a thesaurus for the German printing industry (2015) 0.00 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  18. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.00 
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    Date
    14. 6.2015 22:12:44
  19. Hauer, M.: Automatische Indexierung (2000) 0.00 
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    Source
    Wissen in Aktion: Wege des Knowledge Managements. 22. Online-Tagung der DGI, Frankfurt am Main, 2.-4.5.2000. Proceedings. Hrsg.: R. Schmidt
  20. Hauer, M.: Tiefenindexierung im Bibliothekskatalog : 17 Jahre intelligentCAPTURE (2019) 0.00 
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    Source
    B.I.T.online. 22(2019) H.2, S.163-166

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