Meghabghab, G.V.; Meghabghab, D.B.: INN: an intelligent negotiating neural network for information systems : a design model (1994)
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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
