Search (82 results, page 2 of 5)

  • × language_ss:"e"
  • × theme_ss:"Volltextretrieval"
  1. Tenopir, C.: Full text databases (1984) 0.00
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  2. Frederick, S.C.: SIRE: full-text retrieval with augmented search (1985) 0.00
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  3. Notess, G.R.: Tracking title search capabilities (2001) 0.00
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  4. Calkins, M.: Free text or controlled vocabulary? (1980) 0.00
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  5. Tenopir, C.: Searching by controlled vocabulary or free text (1987) 0.00
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  6. DiMartino, D.; Zoe, L.R.: End-user full text searching : access or excess? (1996) 0.00
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  7. Sclafani, F.: Controlled subject heading searching versus keyword searching (1999) 0.00
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  8. Schmidt, J.: Full-text searching : as seen from a non-bibliographic searcher's point of view (1989) 0.00
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    Abstract
    Examines searching capabilities and search results relating to the same full text data base made available by: a host that offers a command language designed for searching bibliographic data bases and a host that provides search facilities that have been specially designed for full text retrieval. Moreover, the CD-ROM format of an encyclopedia is compared with the equivalent on-line version of the same work, Academic American Encyclopedia. Results reveal that it is easier to search on those systems that offer searching facilities which have been specially designed for full text retrieval.
    Type
    a
  9. Voorbij, H.: Title keywords and subject descriptors : a comparison of subject search entries of books in the humanities and social sciences (1998) 0.00
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    Abstract
    In order to compare the value of subject descriptors and title keywords as entries to subject searches, two studies were carried out. Both studies concentrated on monographs in the humanities and social sciences, held by the online public access catalogue of the National Library of the Netherlands. In the first study, a comparison was made by subject librarians between the subject descriptors and the title keywords of 475 records. They could express their opinion on a scale from 1 (descriptor is exactly or almost the same as word in title) to 7 (descriptor does not appear in title at all). It was concluded that 37 per cent of the records are considerably enhanced by a subject descriptor, and 49 per cent slightly or considerably enhanced. In the second study, subject librarians performed subject searches using title keywords and subject descriptors on the same topic. The relative recall amounted to 48 per cent and 86 per cent respectively. Failure analysis revealed the reasons why so many records that were found by subject descriptors were not found by title keywords. First, although completely meaningless titles hardly ever appear, the title of a publication does not always offer sufficient clues for title keyword searching. In those cases, descriptors may enhance the record of a publication. A second and even more important task of subject descriptors is controlling the vocabulary. Many relevant titles cannot be retrieved by title keyword searching because of the wide diversity of ways of expressing a topic. Descriptors take away the burden of vocabulary control from the user.
    Type
    a
  10. Hider, P.: ¬The search value added by professional indexing to a bibliographic database (2018) 0.00
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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 article reports on an investigation of the search value that subject descriptors and identifiers assigned by professional indexers add to a bibliographic database, namely the Australian Education Index (AEI). First, a similar methodology to that developed by Gross et al. (2015) was applied, with keyword searches representing a range of educational topics run on the AEI database with and without its subject indexing. The results indicated that AEI users would also lose, on average, about a quarter of hits per query. Second, an alternative research design was applied in which an experienced literature searcher was asked to find resources on a set of educational topics on an AEI database stripped of its subject indexing and then asked to search for additional resources on the same topics after the subject indexing had been reinserted. In this study, the proportion of additional resources that would have been lost had it not been for the subject indexing was again found to be about a quarter of the total resources found for each topic, on average.
    Type
    a
  11. Pearce, C.; Nicholas, C.: TELLTALE: Experiments in a dynamic hypertext environment for degraded and multilingual data (1996) 0.00
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    Abstract
    Methods and tools for finding documents relevant to a user's needs in a document corpora can be found in the information retrieval, library science, and hypertext communities. Typically, these systems provide retrieval capabilities for fairly static copora, their algorithms are dependent on the language for which they are written, e.g. English, and they do not perform well when presented with misspelled words or text that has been degraded by OCR techniques. In this article, we present experimentation results for the TELLTALE system. TELLTALE is a dynamic hypertext environment that provides full-text search from a hypertext-style user interface for text corpora that may be garbled by OCR or transmission errors, and that may contain languages other than English. TELLTALE uses several techniques based on n-grams (n character sequences of text). With these results we show that the dynamic linkage mechanisms in TELLTALE are tolerant of garbles in up to 30% of the characters in the body of the texts
    Type
    a
  12. Muddamalle, M.R.: Natural language versus controlled vocabulary in information retrieval : a case study in soil mechanics (1998) 0.00
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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
    Type
    a
  13. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.00
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  14. Salton, G.: Another look at automatic text-retrieval systems (1986) 0.00
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    Footnote
    Bezugnahme auf: Blair, D.C.: An evaluation of retrieval effectiveness for a full-text document-retrieval system. Comm. ACM 28(1985) S.280-299. - Vgl. auch: Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23; Blair, D.C., M.E. Maron: full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
    Type
    a
  15. Mallinson, P.: Developments in free text retrieval systems (1993) 0.00
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    Abstract
    Describes a typical traditional 1989 free text system and discusses developments in data storage, in search strategy and in the storage and retrieval of real time data. Outlines the following areas in which free text systems are likely to develop: standards; integration; dynamic data exchange; improved user interfaces; and better retrieval methods
    Type
    a
  16. Pirkola, A.; Jarvelin, K.: ¬The effect of anaphor and ellipsis resolution on proximity searching in a text database (1995) 0.00
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    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
    Type
    a
  17. Markey, K.; Atherton, P.; Newton, C.: ¬An analysis of controlled vocabulary and free text search statements in online searches (1980) 0.00
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  18. Kirkbride, P.: Full text, free text, and controlled vocabulary : strategic search planning (1991) 0.00
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  19. Sormunen, E.: Free-text searching in full-text databases : probing system limits (1993) 0.00
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  20. Couvreur, T.R.; Benzel, R.N.; Miller, S.F.; Zeitler, D.N.; Lee, D.L.; Singhal, M.; Shivaratri, N.; Wong, W.Y.P.: ¬An analysis of performance and cost factors in searching large text databases using parallel search systems (1994) 0.00
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    Abstract
    The results of modelling the performance of searching large text databases (>10 GBytes) via various parallel hardware architectures and search algorithms are discussed. The performance under load and the cost of each configuration are compared. Strengths, weaknesses, performance sensitivities, and search features supported for each configuration are also addressed. In addition, a common search workload used in the modelling is described. The search workload is derived from a set of searches run against the Chemical Abstracts file of bibliographic and abstract text available on STN International. This common workload is applied to all configurations modelled to provide a common basis of comparison
    Type
    a

Years

Types

  • a 80
  • s 2
  • el 1
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