Some features of query construction in an expert system according to the peculiarities of knowledge structuring (using the domain of nanotechnology as an example)

Abstract

The article is devoted to the problem of information search intellectualization and knowledge extraction acceleration by means of specialized software — an expert system with scientific knowledge structured in the form of terminological networks. The objective of this research is to illustrate how to extract the necessary data from the expert system by stating certain requests and to find out what these requests are. The fragment of the terminological network of the terms of the category Instrument (artificial object) and adjacent terms reconstructed by the authors formed the basis of the article. The contexts with the technical terms of the considered category (quantum dot, nanofibre, nanofilm, nanowire, nanoplate) were the sources of the examples. Contextual analysis and the method of interpretation of the obtained data were used to work out semantic relations between the terms of the domain of nanotechnology. The allocated semantic relations made it possible to define the nature of the term system interaction. Due to the verification of the received semantic relations resulting in prototypical models for the technical terms mentioned above, the authors managed to reconstruct a fragment of the generalized terminological network. These findings served as the basis to identify some typical questions that should be used as search queries in the expert system. The article shows that the created search queries are common and enable users to obtain necessary information if the corresponding semantic relations in the terminological network of the required terms exist.