Search (4 results, page 1 of 1)

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  1. Laakso, J.; Puukko, O.: Classification of fiction by topic in the light of experiments carried out in two public libraries : [Original in Finnisch] (1992) 0.00 
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    Date
    5. 8.2006 10:22:39
  2. Kautto, V.: Kirjojen sisallonkuvailun vaatima aika (1993) 0.00 
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    Abstract
    The survey took place in the year of 1990. 16 librarians and information scientists took part from 10 different departments of Oulu University Library. 581 titles were tested, 70% in English and the rest in Swedish, German and Finnish. The reason for the survey was to find out whether it would be worth using a Finnish indexing system alongside UDC. As an average it takes 6 minutes to familiarize with an item and another 6 minutes to classify and catalogue it. The results are compared with other similar projects in Finland and abroad
  3. Leppanen, E.: Homografiongelma tekstihaussa ja homografien disambiguoinnin vaikutukset (1996) 0.00 
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    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
  4. Iivonen, M.; Sonnenwald, D.H.: Navigointi hekutermeja valittaessa (1997) 0.00 
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    Abstract
    Discusses a new model of search term selection and its implications. The model characterizes the selection of search terms as the navigation of multiple discourses, including controlled vocabularies, documents and their domains, the practice of indexing, clients' speech and search requests, databases and the searcher's own knowledge of the search process. Suggests that the multiple aspects of these discourses influences search term selection. The discourse of a controlled vocabulary is analyzed from various aspects and described as an example of a discourse. Professional searchers and the end users may benefit from adopting this new model of search term selection, learning to see alternative, effective search terms in addition to the words they would normally use. The model can also be incorporated in human computer interfaces of information retrieval systems to support the selection of search terms in a passive or active manner

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