Search (4 results, page 1 of 1)

  • × author_ss:"Fidel, R."
  • × year_i:[1990 TO 2000}
  1. Fidel, R.: Online searching styles (1990) 0.02 
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  2. Fidel, R.: Thesaurus requirements for an intermediary expert system (1992) 0.01 
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    Abstract
    Direct observations and analysis of searching behaviour of professional online searchers shed light on thesaurus requirements for an intermediary expert system - a system that mediates between online databases and end users. Examination of searchers' decisions about the selection of search keys, and of the knowledge about terminological and subject properties that are employed, illuminated the requirements for a thesaurus that will facilitate the selection of search keys. Expert knowledge is needed when: a term occurs very frequently in the database; it has many synonyms; it is ambiguous; it is vague; or its meaning is context dependent. To diagnose such terms and to give advice, a thesaurus would be used together with a variety of text sources such as databases' thesauri, machine-readable dictionaries and glossaries and the databases' text. The thesaurus would be a knowledge structure that indicates frequency data, hedges, and a classificatory structure; both intellectual and automated procedures would be used to create it. Such a knowledge structure in place would require a new approach to text analysis and to the construction of controlled vocabularies
  3. Fidel, R.; Crandall, M.: ¬The role of subject access in information filtering (1998) 0.01 
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    Date
    22. 9.1997 19:16:05
  4. Fidel, R.; Efthimiadis, E.N.: Terminological knowledge structure for intermediary expert systems (1995) 0.01 
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    Abstract
    To provide advice for online searching about term selection and query expansion, an intermediary expert system should indicate a terminological knowledge structure. Terminological attributes could provide the foundation of a knowledge base, and knowledge acquisition could rely on knowledge base techniques coupled with statistical techniques. The strategies of expert searchers would provide 1 source of knowledge. The knowledge structure would include 3 constructs for each term: frequency data, a hedge, and a position in a classification scheme. Switching vocabularies could provide a meta-scheme and facilitate the interoperability of databases in similar subjects. To develop such knowledge structure, research should focus on terminological attributes, word and phrase disambiguation, automated text processing, and the role of thesauri and classification schemes in indexing and retrieval. It should develop techniques that combine knowledge base and statistical methods and that consider user preferences

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