Search (18 results, page 1 of 1)

  • × theme_ss:"Volltextretrieval"
  1. Notess, G.R.: Tracking title search capabilities (2001) 0.02
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    Date
    5. 6.2001 11:36:02
  2. Umstätter, W.: Freitext oder kontrolliertes Vokabular : was ist besser? (1983) 0.02
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    Source
    5. Frühjahrstagung der DGD in Neu-Isenburg vom 26.-28. April 1983: Vorträge
  3. Stegentritt, E.: EMIR: Multilinguales Freitextretrieval Projekt (1992) 0.01
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    Source
    Mensch und Maschine: Informationelle Schnittstellen der Kommunikation. Proc. des 3. Int. Symposiums für Informationswissenschaft (ISI'92), 5.-7.11.1992 in Saarbrücken. Hrsg.: H.H. Zimmermann, H.-D. Luckhardt u. A. Schulz
  4. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.01
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    Date
    23. 1.1999 19:22:09
  5. Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000) 0.01
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    Date
    22. 7.2000 17:48:06
  6. Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001) 0.01
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    Date
    14. 6.2001 12:22:31
  7. Dambeck, H.; Engler, T.: Gesucht und gefunden : Neun Volltext-Suchprogramme für den Desktop (2002) 0.01
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    Source
    c't. 2002, H.22, S.190-197
  8. Dow Jones unveils knowledge indexing system (1997) 0.01
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    Date
    5. 9.1996 21:13:24
    Source
    Advanced technology libraries. 26(1997) no.5, S.2-3
  9. Wildemuth, B.M.: Measures of success in searching a full-text fact base (1990) 0.01
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    Abstract
    The traditional measures of online searching proficiency (recall and precision) are less appropriate when applied to the searching of full text databases. The pilot study investigated and evaluated 5 measures of overall success in searching a full text data bank. Data was drawn from INQUIRER searches conducted by medical students at North Carolina Univ. at Chapel Hill. INQUIRER ia an online database of facts and concepts in microbiology. The 5 measures were: success/failure; precision; search term overlap; number of search cycles; and time per search. Concludes that the last 4 measures look promising for the evaluation of fact data bases such as ENQUIRER
  10. Shewale, N.G.: Information delivery of full-text databases in academic and research libraries using hypermedia (1998) 0.01
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    Footnote
    Paper presented at the 5th National Convention for Automation of Libraries in Education and Research (CALIBER-98), at Bhubaneswar, 4-5 March 1998
    Source
    Information management in academic and research libraries: Proceedings of the 5th National convention for Automation of Libraries in Education and Research (CALIBER-98), Bhubaneswar, India, 4-5 March 1998. Ed. by M. Mahapatra et al
  11. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.01
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    Date
    9. 1.1996 10:22:31
  12. Molto, M.: Improving full text search performance through textual analysis (1993) 0.01
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    Source
    Information processing and management. 29(1993) no.5, S.614-632
  13. Baguhn, J.: Volltextretrieval : stürmische Entwicklungen (1995) 0.01
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    Source
    Cogito. 11(1995) H.5, S.62-63
  14. Tenopir, C.: Full-text retrieval : systems and files (1994) 0.01
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    Source
    Advances in library automation and networking. Vol.5. Ed.: J.A. Hewitt and C.W. Bailey
  15. Paijmans, H.: Gravity wells of meaning : detecting information rich passages in scientific texts (1997) 0.01
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    Source
    Journal of documentation. 53(1997) no.5, S.520-536
  16. Pritchard-Schoch, T.: Comparing natural language retrieval : Win & Freestyle (1995) 0.01
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    Date
    5. 1.1999 18:02:40
  17. Rosemann, L.: ¬Die Volltextabfrage und das Alleinstellungsmerkmal des physischen Buches (2006) 0.01
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    Content
    4. Vermutlich wird sich aufgrund der genannten Gründe der Buchservice Volltextsuche als heterogen darstellen: Einige Verlage werden gar nicht mitspielen, andere werden ein Buch im Vollzugriff, ein anderes nur zum Teil, ein drittes nur als Metainformation usw. indizieren lassen. Dies wird letztlich ebenfalls die Trefferqualität schmälern, da der Nutzer dann wiederum wissen muss, genau welche Informationen und Texte ihm bei seiner Suche vorenthalten werden. Das gedruckte Sachbuch wird gegen seinen eigenen digitalen Klon ein Alleinstellungsmerkmal brauchen, um weiterhin attraktiv zu sein. 5. Ein solches Alleinstellungsmerkmal würde m.E. maßgeblich durch die Erstellung von gedruckten Registern bereits in der Druckausgabe erreicht werden. Damit würde die Druckausgabe tatsächlich an Wert gewinnen und der Buchkäufer erhielte einen echten Mehrwert. Zum einen spiegelt sich bereits in der Erstellung konventioneller gedruckter Register die zweite digitale Revolution wider: Moderne Registererstellung basiert heutzutage ebenfalls auf der digitalen Verwertung des Volltextes. Zum anderen erfordert das "Registermachen" zugleich die Erbringung jener o.g. sachdienlichen Mehrinformationen wie Verweisungsbegriffe, vernünftige Klassifizierungen, nicht-redundante Begriffsauswahl etc., die nur begrenzt automatisierbar sind und Fachwissen erfordern. Erst diese beiden Komponenten lassen die Indexierung schlussendlich zu einer hochwertigen Aufbereitung sequentieller Information werden. 6. Genau diese Mehr- und Metainformationen, die die vorausgegangene Erstellung eines Print-Vollregisters geliefert hat, lassen sich dann in den Suchalgorithmus der Online-Suche zur Qualitätssteigerung der Treffer einrechnen."
    Date
    5. 7.2006 17:58:17
  18. Rösener, C.: ¬Die Stecknadel im Heuhaufen : Natürlichsprachlicher Zugang zu Volltextdatenbanken (2005) 0.00
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    Content
    5: Interaktion 5.1 Frage-Antwort- bzw. Dialogsysteme: Forschungen und Projekte 5.2 Darstellung und Visualisierung von Wissen 5.3 Das Dialogsystem im Rahmen des LeWi-Projektes 5.4 Ergebnisdarstellung und Antwortpräsentation im LeWi-Kontext 6: Testumgebungen und -ergebnisse 7: Ergebnisse und Ausblick 7.1 Ausgangssituation 7.2 Schlussfolgerungen 7.3 Ausblick Anhang A Auszüge aus der Grob- bzw. Feinklassifikation des BMM Anhang B MPRO - Formale Beschreibung der wichtigsten Merkmale ... Anhang C Fragentypologie mit Beispielsätzen (Auszug) Anhang D Semantische Merkmale im morphologischen Lexikon (Auszug) Anhang E Regelbeispiele für die Fragentypzuweisung Anhang F Aufstellung der möglichen Suchen im LeWi-Dialogmodul (Auszug) Anhang G Vollständiger Dialogbaum zu Beginn des Projektes Anhang H Statuszustände zur Ermittlung der Folgefragen (Auszug)