1 research outputs found
Some features of query construction in an expert system according to the peculiarities of knowledge structuring (using the domain of nanotechnology as an example)
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.The authors express their gratitude to the Ministry of science and higher education of the Russian
Federation that financially supported the study: project No. 34.3234.2017/PCh “Development of linguistic
principles of building an expert system for academic knowledge representation based on semantic terminological
networks construction.