Search (273 results, page 1 of 14)

  • × theme_ss:"Automatisches Indexieren"
  1. Stankovic, R. et al.: Indexing of textual databases based on lexical resources : a case study for Serbian (2016) 0.27
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    Date
    1. 2.2016 18:25:22
    Language
    e
    Source
    Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al
  2. Gibb, F.; Smart, G.: Knowledge-based indexing : the view from SIMPR (1991) 0.18
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    Language
    e
    Source
    Libraries and expert systems. Ed. C. MacDonald et al
  3. Renouf, A.: Making sense of text : automated approaches to meaning extraction (1993) 0.18
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    Language
    e
    Source
    Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
  4. Silvester, J.P.; Genuardi, M.T.: Machine-aided indexing from the analysis of natural language text (1994) 0.15
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    Language
    e
    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  5. Smith, P.J.; Normore, L.F.; Denning, R.; Johnson, W.P.: Computerized tools to support document analysis (1994) 0.15
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    Language
    e
    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  6. Milstead, J.L.: Thesauri in a full-text world (1998) 0.10
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    Date
    22. 9.1997 19:16:05
    Language
    e
    Source
    Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
  7. Harman, D.: Automatic indexing (1994) 0.10
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    Language
    e
    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  8. Chevallet, J.-P.; Bruandet, M.F.: Impact de l'utilisation de multi terms sur la qualité des résponses dùn système de recherche d'information a indexation automatique (1999) 0.09
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    Series
    Collection travaux et recherches; UL3
    Source
    Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
  9. Strobel, S.; Marín-Arraiza, P.: Metadata for scientific audiovisual media : current practices and perspectives of the TIB / AV-portal (2015) 0.06
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    Language
    e
    Source
    Metadata and semantics research: 9th Research Conference, MTSR 2015, Manchester, UK, September 9-11, 2015, Proceedings. Eds.: E. Garoufallou et al
  10. Husevag, A.-S.R.: Named entities in indexing : a case study of TV subtitles and metadata records (2016) 0.06
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    Language
    e
    Source
    Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]
  11. Salton, G.: Automatic processing of foreign language documents (1985) 0.05
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    Language
    e
    Source
    Theory of subject analysis: a sourcebook. Ed.: L.M. Chan, et al
  12. Gaus, W.; Kaluscha, R.: Maschinelle inhaltliche Erschließung von Arztbriefen und Auswertung von Reha-Entlassungsberichten (2006) 0.04
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    Abstract
    Schon Hippokrates empfahl den Ärzten, Krankenakten zu führen. Heute ist die detaillierte Dokumentation eine Standespflicht der Ärzte [Gaus et al 1999]. Diese Dokumentationen medizinischer Behandlungen bergen einen riesigen und wertvollen Erfahrungsschatz. Informationen zu Therapien und Behandlungsergebnissen, die in Studien erst mühsam erhoben werden müssten, sind bereits in der Routinedokumentation wie Operations- und Entlassungsberichten oder Arztbriefen zahlreich vorhanden. Mit der Einführung der elektronischen Datenverarbeitung in der Medizin liegen diese Informationen seit einigen Jahren auch maschinenlesbar vor, so dass ein Haupthemmnis für die Nutzung dieser Dokumentationen, nämlich die mühsame manuelle Aufbereitung der Papierakten, entfällt. Während die formale Erschließung nach Patientenmerkmalen wie Name und Geburtsdatum von den Krankenhaus- bzw. Praxisinformationssystemen heutzutage gut gelöst ist, bleibt die inhaltliche Erschließung dieser Dokumentationen schwierig, da nur wenige Informationen in strukturierter oder intellektuell indexierter Form vorliegen [Leiner et al. 2003]. Auch wenn nach der Einführung der Fallpauschalen (diagnosis related groups, DRG) in den Krankenhäusern die Diagnosen nach ICD-10 verschlüsselt werden, besteht ein Großteil der Informationen weiterhin aus freiem Text, dessen computerbasierte Erschließung aufgrund der Komplexität menschlicher Sprache nicht trivial ist. Zu diesen medizinischen Texten gehören u.a. Gutachten, verbal beschriebene (Differential-) Diagnosen, vielfältige Untersuchungs- und Befundberichte, Visitenblätter, Operationsberichte und der Arztbrief bzw. Entlassungsbericht. Arztbrief und Entlassbericht dienen der Information des einweisenden oder weiterbehandelnden Arztes (z.B. Hausarzt) über das, was mit dem Patienten geschehen ist, und geben Empfehlungen zur Weiterbehandlung. Sie fassen eine (stationäre) Behandlung epikritisch - also nachdem die Krankheit überwunden ist, im Rückblick - zusammen und geben einen Überblick über Anamnese (Vorgeschichte), Beschwerden und Symptome, die eingesetzten diagnostischen Verfahren, die gestellte(n) Diagnose(n), Therapie, Verlauf, Komplikationen und das erzielte Ergebnis. Sie haben somit eine ähnliche Funktion wie das Abstract in der Literaturdokumentation, oft wird eine Kopie in der Krankenakte obenauf abgelegt. Zumindest in Universitätskliniken möchten wissenschaftlich arbeitende Ärzte auch unter inhaltlichen Gesichtspunkten auf die Krankenakten zugreifen können, z.B. die Krankenakten aller Patienten mit einer bestimmten Diagnose einsehen, exzerpieren und die exzerpierten Daten auswerten. Auch bei der Suche nach ähnlichen Fällen oder im Bereich der Aus- und Fortbildung hilft eine inhaltliche Erschließung weiter. So könnte etwa ein Assistenzarzt, der im Rahmen seiner Weiterbildung demnächst Sonografien des Kniegelenkes durchzuführen hat, sich vorhandene Berichte von solchen Sonografien anschauen und sich so über relevante Untersuchungstechniken und Befunde vorab informieren.
  13. Needham, R.M.; Sparck Jones, K.: Keywords and clumps (1985) 0.04
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    Language
    e
    Source
    Theory of subject analysis: a sourcebook. Ed.: L.M. Chan, et al
  14. Ma, N.; Zheng, H.T.; Xiao, X.: ¬An ontology-based latent semantic indexing approach using long short-term memory networks (2017) 0.04
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    Source
    Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part I. Eds.: L. Chen et al
  15. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.03
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    Language
    e
    Source
    Information processing and management. 22(1986) no.6, S.465-476
  16. Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.03
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    Language
    e
    Source
    Information outlook. 9(2005) no.8, S.22-23
  17. Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988) 0.02
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    Date
    16. 8.1998 12:51:22
    Language
    e
  18. Kutschekmanesch, S.; Lutes, B.; Moelle, K.; Thiel, U.; Tzeras, K.: Automated multilingual indexing : a synthesis of rule-based and thesaurus-based methods (1998) 0.02
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    Language
    e
    Source
    Information und Märkte: 50. Deutscher Dokumentartag 1998, Kongreß der Deutschen Gesellschaft für Dokumentation e.V. (DGD), Rheinische Friedrich-Wilhelms-Universität Bonn, 22.-24. September 1998. Hrsg. von Marlies Ockenfeld u. Gerhard J. Mantwill
  19. Chartron, G.; Dalbin, S.; Monteil, M.-G.; Verillon, M.: Indexation manuelle et indexation automatique : dépasser les oppositions (1989) 0.02
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  20. Hmeidi, I.; Kanaan, G.; Evens, M.: Design and implementation of automatic indexing for information retrieval with Arabic documents (1997) 0.02
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    Abstract
    A corpus of 242 abstracts of Arabic documents on computer science and information systems using the Proceedings of the Saudi Arabian National Conferences as a source was put together. Reports on the design and building of an automatic information retrieval system from scratch to handle Arabic data. Both automatic and manual indexing techniques were implemented. Experiments using measures of recall and precision has demonstrated that automatic indexing is at least as effective as manual indexing and more effective in some cases. Automatic indexing is both cheaper and faster. Results suggests that a wider coverage of the literature can be achieved with less money and produce as good results as with manual indexing. Compares the retrieval results using words as index terms versus stems and roots, and confirms the results obtained by Al-Kharashi and Abu-Salem with smaller corpora that root indexing is more effective than word indexing
    Language
    e

Languages

  • e 239
  • d 29
  • f 2
  • nl 2
  • m 1
  • ru 1
  • More… Less…

Types

  • a 248
  • el 22
  • m 9
  • s 8
  • x 5
  • r 1
  • More… Less…