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  • × theme_ss:"Informationsdienstleistungen"
  • × theme_ss:"OPAC"
  1. Meghabghab, G.V.; Meghabghab, D.B.: INN: an intelligent negotiating neural network for information systems : a design model (1994) 0.01 
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    Abstract
    Research on the use of online catalogues reveals that information retrieval by subject is the most common form, but the least successful. Most problems are attributed to users' search terms, which are either to broad or too specific. Presents an Intelligent Negotiating Neural Network (INN) design model for solving this aspect of online catalogues. The network is designed to act as as electronic information specialist capable of learning to negotiate a user's query and translate it into a true, well formulate statement prior to accessing an online catalogue. The network's architecture includes 4 dimensions: conceptual graphs for queries, inheritance and recognition, knowledge base, and modules. This architecture corresponds to four elements of the traditional query negotiation interview performed by information specialists. These are: query/concept; types of sources/answer-providing tools; types of literature; and time frame. 3 different sessions of the user interface are presented: negotiation of a broadly stae query; negotiation of a norrowly stae query; and negotiation of a query for which concepts are nonexistent in the knowledge base
  2. Furner, J.; Willett, P.: ¬A survey of hypertext-based public-access point-of-information systems in UK libraries (1995) 0.01 
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    Abstract
    We have recently completed a survey of the operational use of hypertext-based information systems in academic, public and special libraries in the UK. A literatur search, questionnaire and both telephone and face-to-face interviews demonstrate that the principle application of hypertext systems is for the implementation of public-access point-of-information systems, which provide guidance to the users of local information resources. In this paper, we describe the principle issuse relating to the design and usage of these systems that were raised in the interviews and that we experienced when using the systems for ourselves. We then present a set of technical recommendations with the intention of helping the developers of future systems, with special attention being given to the need to develop effective methods for system evaluation

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