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  • × author_ss:"Tseng, G."
  1. Morris, A.; Tseng, G.; Drenth, H.: ¬The development of an expert system for online company database selection : phase 2 (1994) 0.01 
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    Abstract
    Describes phase 2 of the project. Aimed to develop the prototype CIDA further, incorporating the recommendations made by the evaluators of the system during phase 1 and to undertake additional evaluation once changes had been made. Specific objectives were: to enhance the user interface of the prototype in accordance with evaluators' recommendations; to refine the system advice; to field test the system in anorganization where online company information searching is frequently undertaken; and to compare the accuracy and efficiency of the prototype to that of manual directories giving details of online company databases
  2. Drenth, H.; Morris, A.; Tseng, G.: ¬The development of an expert system for online company database selection (1994) 0.01 
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    Abstract
    Describes a project, undertaken by Loughborough University, Department of Information and Library Studies, UK to develop an expert system to assist libraries with the selection of online business information databases to reduce the time currently spent by end users in browsing databases and improve the results of the time spent in onlines searching. Describes the design, construction and evaluation of the prototype Online Company Information Database Adviser (CIDA) as the result of the project
  3. Drenth, H.; Morris, A.; Tseng, G.: Expert systems as information intermediaries (1991) 0.01 
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    Abstract
    Points out that expert systems have great potential to enhance access to information retrieval systems as they use expertise to carry out tasks such as diagnosis and planning and make expertise available to nonexperts. Potential end users of online information retrieval systems are frequently deterred by the complexity of theses systems. Expert systems can mediate between the searcher and the information retrieval system and might be the key both to increasing and end user searching and to improving the quality of searches overall

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