Search (2 results, page 1 of 1)

  • × theme_ss:"Klassifikationssysteme im Online-Retrieval"
  • × theme_ss:"Suchoberflächen"
  • × year_i:[2000 TO 2010}
  1. Binding, C.; Tudhope, D.: Integrating faceted structure into the search process (2004) 0.00 
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    Abstract
    The nature of search requirements is perceived to be changing, fuelled by a growing dissatisfaction with the marginal accuracy and often overwhelming quantity of results from simple keyword matching techniques. Traditional search interfaces fail to acknowledge and utilise the implicit underlying structure present within a typical keyword query. Faceted structure can (and should) perform a significant role in this area - acting as the basis for mediation between searcher and indexer, and guiding query formulation and reformulation by interactively educating the user about the native domain. This paper discusses the possible benefits of applying faceted knowledge organization systems to enhance query structure, query visualisation and the overall query process, drawing an the outcomes of a recently completed research project.
    Type
    a
  2. Chowdhury, S.; Chowdhury, G.G.: Using DDC to create a visual knowledge map as an aid to online information retrieval (2004) 0.00 
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    Abstract
    Selection of search terms in an online search environment can be facilitated by the visual display of a knowledge map showing the various concepts and their links. This paper reports an a preliminary research aimed at designing a prototype knowledge map using DDC and its visual display. The prototype knowledge map created using the Protégé and TGViz freeware has been demonstrated, and further areas of research in this field are discussed.
    Content
    1. Introduction Web search engines and digital libraries usually expect the users to use search terms that most accurately represent their information needs. Finding the most appropriate search terms to represent an information need is an age old problem in information retrieval. Keyword or phrase search may produce good search results as long as the search terms or phrase(s) match those used by the authors and have been chosen for indexing by the concerned information retrieval system. Since this does not always happen, a large number of false drops are produced by information retrieval systems. The retrieval results become worse in very large systems that deal with millions of records, such as the Web search engines and digital libraries. Vocabulary control tools are used to improve the performance of text retrieval systems. Thesauri, the most common type of vocabulary control tool used in information retrieval, appeared in the late fifties, designed for use with the emerging post-coordinate indexing systems of that time. They are used to exert terminology control in indexing, and to aid in searching by allowing the searcher to select appropriate search terms. A large volume of literature exists describing the design features, and experiments with the use, of thesauri in various types of information retrieval systems (see for example, Furnas et.al., 1987; Bates, 1986, 1998; Milstead, 1997, and Shiri et al., 2002).
    Type
    a

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