Search (6 results, page 1 of 1)

  • × author_ss:"Fidel, R."
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Fidel, R.; Efthimiadis, E.N.: Terminological knowledge structure for intermediary expert systems (1995) 0.02
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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
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Fidel, R.: Online searching styles (1990) 0.01
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  3. Fidel, R.: ¬The image retrieval task : implications for the design and evaluation of image databases (1997) 0.01
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    Abstract
    A review of studies about searching beganiour in image retrieval suggests that retrieval tasks may affect searching behaviour. Retrieval tasks occur along a spectrum starting with the Data Pole, which involves retrieval of images for the information which the image include, and ending with the Objects Pole, which concerns the retrieval of images as objects. Each Pole generates a certain searching behaviour which has characteristics opposing those of the other pole. These characteristics suggest that: relevance feedback may not be useful for tasks on the Object Pole; measuring precision on the Data Pole should be replaced with another measurement of effort and time, while on the Objects Pole, the quality of browsing sets and the precision of the browsing process should be measured instead of precision; and recall is not useful for the Data Pole, and requires much exploration before it can be adopted for the Object Pole. Additional research in searching behaviour and about performance measurement will improve retrieval from image databases
  4. Fidel, R.: Qualitative methods in information retrieval research (1993) 0.01
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    Abstract
    This review of the literature shows that the number of research projects in information retrieval (IR) that employ qualitative methods is on the rise. Although no agreed-upon definition exists for the concept qualitative research, a number of typical characteristics describe its nature. Qualitative research is noncontrolling, holistic and case oriented, about processes, open and flexible, diverse in methods, humanistic, inductive, and scientific. Although these characteristics make qualitative methods the best for exploring human behavior in depth, and thus of great relevance to IR research, only a few studies present all of them. Doctoral students, librarians, and others who are intersted in qualitative methods have many sources for gaining support and guidance: methodological writings, textbooks and handbooks, and several deprtments at academic institutions
  5. Fidel, R.: Thesaurus requirements for an intermediary expert system (1992) 0.00
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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
  6. Fidel, R.; Crandall, M.: ¬The role of subject access in information filtering (1998) 0.00
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    Date
    22. 9.1997 19:16:05