Search (85 results, page 3 of 5)

  • × theme_ss:"Volltextretrieval"
  1. Silva, E.M. da: Comparing the use of full text search between a conventional IR System and a DBMS (2018) 0.00
    0.0040277084 = product of:
      0.028193956 = sum of:
        0.021511177 = weight(_text_:system in 4719) [ClassicSimilarity], result of:
          0.021511177 = score(doc=4719,freq=2.0), product of:
            0.07727166 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.02453417 = queryNorm
            0.27838376 = fieldWeight in 4719, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0625 = fieldNorm(doc=4719)
        0.006682779 = weight(_text_:information in 4719) [ClassicSimilarity], result of:
          0.006682779 = score(doc=4719,freq=2.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.1551638 = fieldWeight in 4719, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0625 = fieldNorm(doc=4719)
      0.14285715 = coord(2/14)
    
    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  2. Turtle, H.; Flood, J.: Query evaluation : strategies and optimizations (1995) 0.00
    0.0037893022 = product of:
      0.026525114 = sum of:
        0.006682779 = weight(_text_:information in 4087) [ClassicSimilarity], result of:
          0.006682779 = score(doc=4087,freq=2.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.1551638 = fieldWeight in 4087, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0625 = fieldNorm(doc=4087)
        0.019842334 = weight(_text_:retrieval in 4087) [ClassicSimilarity], result of:
          0.019842334 = score(doc=4087,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.26736724 = fieldWeight in 4087, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0625 = fieldNorm(doc=4087)
      0.14285715 = coord(2/14)
    
    Abstract
    Discusses the 2 major query evaluation strategies used in large text retrieval systems and analyzes the performance of these strategies. Discusses several optimization techniques that can be used to reduce evaluation costs and present simulation results to compare the performance of these optimization techniques when evaluating natural language queries with a collection of full text legal materials
    Source
    Information processing and management. 31(1995) no.6, S.831-850
  3. Tenopir, C.: Full text database retrieval performance (1985) 0.00
    0.003543274 = product of:
      0.049605835 = sum of:
        0.049605835 = weight(_text_:retrieval in 406) [ClassicSimilarity], result of:
          0.049605835 = score(doc=406,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.6684181 = fieldWeight in 406, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.15625 = fieldNorm(doc=406)
      0.071428575 = coord(1/14)
    
  4. Ojala, M.: Research into full-text retrieval (1990) 0.00
    0.003543274 = product of:
      0.049605835 = sum of:
        0.049605835 = weight(_text_:retrieval in 576) [ClassicSimilarity], result of:
          0.049605835 = score(doc=576,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.6684181 = fieldWeight in 576, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.15625 = fieldNorm(doc=576)
      0.071428575 = coord(1/14)
    
  5. Pirkola, A.; Jarvelin, K.: ¬The effect of anaphor and ellipsis resolution on proximity searching in a text database (1995) 0.00
    0.0035389478 = product of:
      0.024772633 = sum of:
        0.0072343214 = weight(_text_:information in 4088) [ClassicSimilarity], result of:
          0.0072343214 = score(doc=4088,freq=6.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.16796975 = fieldWeight in 4088, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4088)
        0.017538311 = weight(_text_:retrieval in 4088) [ClassicSimilarity], result of:
          0.017538311 = score(doc=4088,freq=4.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.23632148 = fieldWeight in 4088, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4088)
      0.14285715 = coord(2/14)
    
    Abstract
    So far, methods for ellipsis and anaphor resolution have been developed and the effects of anaphor resolution have been analyzed in the context of statistical information retrieval of scientific abstracts. No significant improvements has been observed. Analyzes the effects of ellipsis and anaphor resolution on proximity searching in a full text database. Anaphora and ellipsis are classified on the basis of the type of their correlates / antecedents rather than, as traditional, on the basis of their own linguistic type. The classification differentiates proper names and common nouns of basic words, compound words, and phrases. The study was carried out in a newspaper article database containing 55.000 full text articles. A set of 154 keyword pairs in different categories was created. Human resolution of keyword ellipsis and anaphora was performed to identify sentences and paragraphs which would match proximity searches after resolution. Findings indicate that ellipsis and anaphor resolution is most relevant for proper name phrases and only marginal in the other keyword categories. Therefore the recall effect of restricted resolution of proper name phrases only was analyzed for keyword pairs containing at least 1 proper name phrase. Findings indicate a recall increase of 38.2% in sentence searches, and 28.8% in paragraph searches when proper name ellipsis were resolved. The recall increase was 17.6% sentence searches, and 19.8% in paragraph searches when proper name anaphora were resolved. Some simple and computationally justifiable resolution method might be developed only for proper name phrases to support keyword based full text information retrieval. Discusses elements of such a method
    Source
    Information processing and management. 32(1996) no.2, S.199-216
  6. Wacholder, N.; Byrd, R.J.: Retrieving information from full text using linguistic knowledge (1994) 0.00
    0.0033661337 = product of:
      0.023562934 = sum of:
        0.008681185 = weight(_text_:information in 8524) [ClassicSimilarity], result of:
          0.008681185 = score(doc=8524,freq=6.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.20156369 = fieldWeight in 8524, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=8524)
        0.014881751 = weight(_text_:retrieval in 8524) [ClassicSimilarity], result of:
          0.014881751 = score(doc=8524,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.20052543 = fieldWeight in 8524, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=8524)
      0.14285715 = coord(2/14)
    
    Abstract
    Examines how techniques in the field of natural language processing can be applied to the analysis of text in information retrieval. State of the art text searching programs cannot distinguish, for example, between occurrences of the sickness, AIDS and aids as tool or between library school and school nor equate such terms as online or on-line which are variants of the same form. To make these distinction, systems must incorporate knowledge about the meaning of words in context. Research in natural language processing has concentrated on the automatic 'understanding' of language; how to analyze the grammatical structure and meaning of text. Although many asoects of this research remain experimental, describes how these techniques to recognize spelling variants, names, acronyms, and abbreviations
    Imprint
    Medford, NJ : Learned Information
  7. Huang, Y.-L.: ¬A theoretic and empirical research of cluster indexing for Mandarine Chinese full text document (1998) 0.00
    0.0033156392 = product of:
      0.023209473 = sum of:
        0.0058474317 = weight(_text_:information in 513) [ClassicSimilarity], result of:
          0.0058474317 = score(doc=513,freq=2.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.13576832 = fieldWeight in 513, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=513)
        0.017362041 = weight(_text_:retrieval in 513) [ClassicSimilarity], result of:
          0.017362041 = score(doc=513,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.23394634 = fieldWeight in 513, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0546875 = fieldNorm(doc=513)
      0.14285715 = coord(2/14)
    
    Abstract
    Since most popular commercialized systems for full text retrieval are designed with full text scaning and Boolean logic query mode, these systems use an oversimplified relationship between the indexing form and the content of document. Reports the use of Singular Value Decomposition (SVD) to develop a Cluster Indexing Model (CIM) based on a Vector Space Model (VSM) in orer to explore the index theory of cluster indexing for chinese full text documents. From a series of experiments, it was found that the indexing performance of CIM is better than traditional VSM, and has almost equivalent effectiveness of the authority control of index terms
    Source
    Bulletin of library and information science. 1998, no.24, S.44-68
  8. McKinin, E.J.; Sievert, M.E.; Johnson, D.; Mitchell, J.A.: ¬The Medline/full-text research project (1991) 0.00
    0.0031385582 = product of:
      0.021969907 = sum of:
        0.0070881573 = weight(_text_:information in 5385) [ClassicSimilarity], result of:
          0.0070881573 = score(doc=5385,freq=4.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.16457605 = fieldWeight in 5385, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=5385)
        0.014881751 = weight(_text_:retrieval in 5385) [ClassicSimilarity], result of:
          0.014881751 = score(doc=5385,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.20052543 = fieldWeight in 5385, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=5385)
      0.14285715 = coord(2/14)
    
    Abstract
    This project was designed to test the relative efficacy of index terms and full-text for the retrieval of documents in those MEDLINE journals for which full-text searching was also available. The full-text files used were MEDIS from Mead Data Central and CCML from BRS Information Technologies. One hundred clinical medical topics were searches in these two files as well as the MEDLINE file to accumulate the necessary data. It was found that full-text identified significantly more relevant articles than did the indexed file. Most relevant items missed in the full-text files, but identified in MEDLINE, were missed because the searcher failed to account for some aspect of natural language, used a logical or positional operator that was too restrictive, or included a concept which was implied, but not expressed in the natural language. Very few of the unique relevant full-text citations would have been retrievaed by title or abstract alone. Finally, as of July, 1990 the more current issue of a journal was just as likely to appear in MEDLINE as in one of the full-text files.
    Source
    Journal of the American Society for Information Science. 42(1991), S.297-307
  9. Nahl, D.; Tenopir, C.: Affective and cognitive searching behavior of novice end-users of a full-text database (1996) 0.00
    0.0031139941 = product of:
      0.021797959 = sum of:
        0.013444485 = weight(_text_:system in 4213) [ClassicSimilarity], result of:
          0.013444485 = score(doc=4213,freq=2.0), product of:
            0.07727166 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.02453417 = queryNorm
            0.17398985 = fieldWeight in 4213, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4213)
        0.008353474 = weight(_text_:information in 4213) [ClassicSimilarity], result of:
          0.008353474 = score(doc=4213,freq=8.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.19395474 = fieldWeight in 4213, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4213)
      0.14285715 = coord(2/14)
    
    Footnote
    Novice end users were given 2 hours of training in searching a full-text magazine database (Magazine ASAP(TM)) on DIALOG. Subjects searched during 3 to 4 sessions in the presence of a trained monitor who prompted them to think aloud throughout the sessions. qualitative analysis of the transcripts and transaction logs yielded empirical information on user variables (purpose, motivation, satisfaction), uses of the database, move types, and every question users asked during the searches. The spontaneous, naturalistic questions were categorized according to affective, cognitive, and sensorimotor speech acts. Results show that most of the searches were performed for the self and were work related. The most common use of the database was to retrieve full-text articles online and to download and print them out rather than read them on screen. The majority of searches were judged satisfactory. Innovative uses included browsing for background information and obtaining contextualized sentences for language teaching. Searchers made twice as many moves to limit sets as moves to expand sets. Affective questions outnumbered cognitive and sensorimotor questions by two to one. This preponderance of affective micro-information needs during searching might be addressed by new system functions
    Source
    Journal of the American Society for Information Science. 47(1996) no.4, S.276-286
  10. Markey, K.; Atherton, P.; Newton, C.: ¬An analysis of controlled vocabulary and free text search statements in online searches (1980) 0.00
    0.0024802918 = product of:
      0.034724083 = sum of:
        0.034724083 = weight(_text_:retrieval in 1401) [ClassicSimilarity], result of:
          0.034724083 = score(doc=1401,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.46789268 = fieldWeight in 1401, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.109375 = fieldNorm(doc=1401)
      0.071428575 = coord(1/14)
    
    Theme
    Verbale Doksprachen im Online-Retrieval
  11. Ashford, J.H.: Free text retrieval in the Welsh language : problems, and proposed working practice (1995) 0.00
    0.0020043785 = product of:
      0.028061297 = sum of:
        0.028061297 = weight(_text_:retrieval in 6509) [ClassicSimilarity], result of:
          0.028061297 = score(doc=6509,freq=4.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.37811437 = fieldWeight in 6509, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0625 = fieldNorm(doc=6509)
      0.071428575 = coord(1/14)
    
    Abstract
    A bilingual Welsh-English full text database is planned for Inspection Reports of Her Majesty's Inspectors of Schools for Wales. Special requirements for free text retrieval in the Welsh language are identified, and practical solutions are proposed for problems arising from the use of standard text database products, some of which may also apply to other lesser-used languages
  12. Trinkwalder, A.: Wortdetektive : Volltext-Suchmaschinen für Festplatte und Intranet (2000) 0.00
    0.001771637 = product of:
      0.024802918 = sum of:
        0.024802918 = weight(_text_:retrieval in 5318) [ClassicSimilarity], result of:
          0.024802918 = score(doc=5318,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.33420905 = fieldWeight in 5318, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.078125 = fieldNorm(doc=5318)
      0.071428575 = coord(1/14)
    
    Abstract
    Oft sorgt die eigene Unordentlichkeit dafür, dass wichtige Texte unauffindbar sind, manchmal lässt sich aber auch einfach die schiere Menge nicht bändigen und vernünftig sortieren. Text-Retrieval-Systeme durchforsten das Dickicht und versprechen den schnellen Weg zu wertvollen Informationen
  13. Casale, M.: Full text retrieval for the Web (1996) 0.00
    0.001753831 = product of:
      0.024553634 = sum of:
        0.024553634 = weight(_text_:retrieval in 6757) [ClassicSimilarity], result of:
          0.024553634 = score(doc=6757,freq=4.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.33085006 = fieldWeight in 6757, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0546875 = fieldNorm(doc=6757)
      0.071428575 = coord(1/14)
    
    Abstract
    Reviews developments and improvements in techniques for searching the WWW that have been made access to full text databases a practical proposition (full text retrieval (FTR)). Reports results of interviews with 8 full text database vendors offering FTR via the WWW: Dataware (http://www.dataware.com); Excalibur (http://www.excalib.com); Fulcrum (http://www.fulcrum.com); Muscat (http://www.muscat.co.uk); Open Text (http://www.opentext.com); Personal Library Software (PLS) (http://www.pls.com); Verity (http://www.verity.com); and ZyLab (ZyIndex and ZyImage) (http://www.zylab.com). Compares the prices of the systems and lists the questions that publishers should ask before making a choice of systems for handling FTR on the Web
  14. Kramer, A.: Datendetektive : Volltextsuchmaschinen trotzen dem Chaos auf der Festplatte (2004) 0.00
    0.0015365126 = product of:
      0.021511177 = sum of:
        0.021511177 = weight(_text_:system in 2825) [ClassicSimilarity], result of:
          0.021511177 = score(doc=2825,freq=2.0), product of:
            0.07727166 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.02453417 = queryNorm
            0.27838376 = fieldWeight in 2825, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0625 = fieldNorm(doc=2825)
      0.071428575 = coord(1/14)
    
    Abstract
    Wo war noch mal die Adressliste für das nächste Klassentreffen, wie lautet das Angebot vom Partyservice und wer hat überhaupt schon alles zugesagt? Das System braucht schon für eine einfache Recherche im Volltext aller Dateien extrem lange. Suchprogramme von Drittanbietern arbeiten nicht nur schneller, sondern auch besser
  15. Pritchard-Schoch, T.: Comparing natural language retrieval : Win & Freestyle (1995) 0.00
    0.0014173096 = product of:
      0.019842334 = sum of:
        0.019842334 = weight(_text_:retrieval in 2546) [ClassicSimilarity], result of:
          0.019842334 = score(doc=2546,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.26736724 = fieldWeight in 2546, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0625 = fieldNorm(doc=2546)
      0.071428575 = coord(1/14)
    
  16. Basch, R.: ¬Die sieben Todsünden der Volltextrecherche (1990) 0.00
    0.0013444485 = product of:
      0.018822279 = sum of:
        0.018822279 = weight(_text_:system in 2034) [ClassicSimilarity], result of:
          0.018822279 = score(doc=2034,freq=2.0), product of:
            0.07727166 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.02453417 = queryNorm
            0.2435858 = fieldWeight in 2034, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2034)
      0.071428575 = coord(1/14)
    
    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?
  17. Gross, T.; Taylor, A.G.; Joudrey, D.N.: Still a lot to lose : the role of controlled vocabulary in keyword searching (2015) 0.00
    0.0012401459 = product of:
      0.017362041 = sum of:
        0.017362041 = weight(_text_:retrieval in 2007) [ClassicSimilarity], result of:
          0.017362041 = score(doc=2007,freq=2.0), product of:
            0.07421378 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02453417 = queryNorm
            0.23394634 = fieldWeight in 2007, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2007)
      0.071428575 = coord(1/14)
    
    Theme
    Verbale Doksprachen im Online-Retrieval
  18. Tenopir, C.; Ro, J.S.: Full text databases (1990) 0.00
    0.0011813596 = product of:
      0.016539034 = sum of:
        0.016539034 = weight(_text_:information in 1916) [ClassicSimilarity], result of:
          0.016539034 = score(doc=1916,freq=4.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.3840108 = fieldWeight in 1916, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.109375 = fieldNorm(doc=1916)
      0.071428575 = coord(1/14)
    
    Footnote
    Rez. in: Information technology and libraries. 10(1991) S.156-157 (E. Kanter)
    Series
    New directions in information management; 21
  19. Leppanen, E.: Homografiongelma tekstihaussa ja homografien disambiguoinnin vaikutukset (1996) 0.00
    0.0011523846 = product of:
      0.016133383 = sum of:
        0.016133383 = weight(_text_:system in 27) [ClassicSimilarity], result of:
          0.016133383 = score(doc=27,freq=2.0), product of:
            0.07727166 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.02453417 = queryNorm
            0.20878783 = fieldWeight in 27, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=27)
      0.071428575 = coord(1/14)
    
    Abstract
    Homonymy is known to often cause false drops in free text searching in a full text database. The problem is quite common and difficult to avoid in Finnish, but nobody has examined it before. Reports on a study that examined the frequency of, and solutions to, the homonymy problem, based on searches made in a Finnish full text database containing about 55.000 newspaper articles. The results indicate that homonymy is not a very serious problem in full text searching, with only about 1 search result set out of 4 containing false drops caused by homonymy. Several other reasons for nonrelevance were much more common. However, in some set results there were a considerable number of homonymy errors, so the number seems to be very random. A study was also made into whether homonyms can be disambiguated by syntactic analysis. The result was that 75,2% of homonyms were disambiguated by this method. Verb homonyms were considerably easier to disambiguate than substantives. Although homonymy is not a very big problem it could perhaps easily be eliminated if there was a suitable syntactic analyzer in the IR system
  20. Tenopir, C.: Full text databases (1984) 0.00
    9.5468276E-4 = product of:
      0.013365558 = sum of:
        0.013365558 = weight(_text_:information in 398) [ClassicSimilarity], result of:
          0.013365558 = score(doc=398,freq=2.0), product of:
            0.04306919 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.02453417 = queryNorm
            0.3103276 = fieldWeight in 398, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.125 = fieldNorm(doc=398)
      0.071428575 = coord(1/14)
    
    Source
    Annual review of information science and technology. 19(1984), S.215-246

Years

Languages

Types

  • a 77
  • m 3
  • x 3
  • s 2
  • r 1
  • More… Less…