Search (13 results, page 1 of 1)

  • × theme_ss:"Volltextretrieval"
  1. Kristensen, J.; Järvelin, K.: ¬The effectiveness of a searching thesaurus in free-text searching in a full-text database (1990) 0.04 
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  2. Kristensen, J.: Expanding end-users' query statements for free text searching with a search-aid thesaurus (1993) 0.03 
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    Abstract
    Tests the effectiveness of a thesaurus as a search-aid in free text searching of a full text database. A set of queries was searched against a large full text database of newspaper articles. The thesaurus contained equivalence, hierarchical and associative relationships. Each query was searched in five modes: basic search, synonym search, narrower term search, related term search, and union of all previous searches. The searches were analyzed in terms of relative recall and precision
  3. Muddamalle, M.R.: Natural language versus controlled vocabulary in information retrieval : a case study in soil mechanics (1998) 0.03 
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    Abstract
    The effectiveness ot two information retrieval tools, namely, thesaurus and natural language, in an information retrieval system has been studies. A database SOILSC was created using a HP3000/58 series minicomputer and MINISIS software. Records of articles totalling 17.918 published in various journals, received in the Central Water and Power Research Station (CWPRS) library (Pune, India) since 1988, have been stored. The information needs of a soil mechanics group have been formulated using thesaurus and natural language into 81 search strategies. In consultation with the user, relevance of the retrieved documents was assessed and, recall (R) and precision (P) values were calculated. Since both thesaurus and natural language have shown identical performance in information retrieval, a combination of these two have been suggested for making searches and providing relevant information
  4. Dow Jones unveils knowledge indexing system (1997) 0.02 
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    Abstract
    Dow Jones Interactive Publishing has developed a sophisticated automatic knowledge indexing system that will allow searchers of the Dow Jones News / Retrieval service to get highly targeted results from a search in the service's Publications Library. Instead of relying on a thesaurus of company names, the new system uses a combination of that basic algorithm plus unique rules based on the editorial styles of individual publications in the Library. Dow Jones have also announced its acceptance of the definitions of 'selected full text' and 'full text' from Bibliodata's Fulltext Sources Online directory
  5. Basch, R.: ¬Die sieben Todsünden der Volltextrecherche (1990) 0.02 
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    Abstract
    Dieser Artikel diskutiert die "sieben Todsünden" der Volltextrecherche und macht sowohl praktische als auch utopische Vorschläge zu ihrer Überwindung. Zunächst wird versucht, die persönlichen "sieben Sünden" auf einer Standardliste zu verzeichnen. Je nachdem, welches Standardwerk man zu Rate zieht, kommen hierbei einige interessante Abweichungen vor. Selbst der Thesaurus von WordPerfect zeigt auf die Frage nach "Sünde" hilfsbereit alle sieben! Ein Beispiel für "Stolz" ist das Online-System, für das in ganzseitigen Anzeigen in großen nationalen Publikationen erklärt wird: 'Unser Angebot ist eine Welt von Informationen auf Knopfdruck'. "Gier" ist das Downloading von Volltexten, "Trägheit" die langsame Verarbeitungszeit: "Geiz" hat etwas mit der Preisgestaltung zu tun, und alles liegt irgendwo zwischen "Lust" und "Ärger"; c'est la vie, n'est-ce pas?
  6. Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 2. full-text retrieval bij de HavenInformatieBank (1998) 0.02 
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    Abstract
    At Rotterdam Port Authority an information database has been created with approx. 100.000 full text documents online. Topic software has been used to identify word groups and refine search strategies to optimize precision and recall. The software guides users from selected terms to other relevant word combinations. Although the system would benefit from further refinement, users are generally satisfied. The database includes a number of foreign language documents but lacks a thesaurus of foreign terms
  7. Hider, P.: ¬The search value added by professional indexing to a bibliographic database (2017) 0.01 
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    Abstract
    Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This paper reports on an analysis of the loss levels that would result if a bibliographic database, namely the Australian Education Index (AEI), were missing the subject descriptors and identifiers assigned by its professional indexers, employing the methodology developed by Gross and Taylor (2005), and later by Gross et al. (2015). The results indicate that AEI users would lose a similar proportion of hits per query to that experienced by library catalog users: on average, 27% of the resources found by a sample of keyword queries on the AEI database would not have been found without the subject indexing, based on the Australian Thesaurus of Education Descriptors (ATED). The paper also discusses the methodological limitations of these studies, pointing out that real-life users might still find some of the resources missed by a particular query through follow-up searches, while additional resources might also be found through iterative searching on the subject vocabulary. The paper goes on to describe a new research design, based on a before - and - after experiment, which addresses some of these limitations. It is argued that this alternative design will provide a more realistic picture of the value that professionally assigned subject indexing and controlled subject vocabularies can add to literature searching of a more scholarly and thorough kind.
  8. Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993) 0.01 
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    Date
    23. 1.1999 19:22:09
  9. 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
  10. 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
  11. 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
  12. Rösener, C.: ¬Die Stecknadel im Heuhaufen : Natürlichsprachlicher Zugang zu Volltextdatenbanken (2005) 0.01 
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    Content
    Enthält die Kapitel: 2: Wissensrepräsentation 2.1 Deklarative Wissensrepräsentation 2.2 Klassifikationen des BMM 2.3 Thesauri und Ontologien: existierende kommerzielle Software 2.4 Erstellung eines Thesaurus im Rahmen des LeWi-Projektes 3: Analysekomponenten 3.1 Sprachliche Phänomene in der maschinellen Textanalyse 3.2 Analysekomponenten: Lösungen und Forschungsansätze 3.3 Die Analysekomponenten im LeWi-Projekt 4: Information Retrieval 4.1 Grundlagen des Information Retrieval 4.2 Automatische Indexierungsmethoden und -verfahren 4.3 Automatische Indexierung des BMM im Rahmen des LeWi-Projektes 4.4 Suchstrategien und Suchablauf im LeWi-Kontext
  13. 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

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