Advances in decision technology and intelligent information systems
Proceedings of the 14th International Symposium on Advances in Decision Technology and Intelligent Information Systems in conjunction with the 25th International Scientific Conference on Systems Research, Informatics and Cybernetics (Germany, Baden-Baden, July 29th – August 3rd, 2013).
The paper describes a broadly applicable method of designing multilingual semantics-syntactic analyzers of recommender systems. The user inputs may include the questions of many kinds formed with the help of interrogative words (or without interrogative words), verbs, nouns, attributes, prepositions, the designations of the digital values of various parameters. For the queries in English and German, the developed algorithm of semantic-syntactic analysis processes the questions of many kinds, the commands, and the statements from a restricted sublanguage of natural language (NL). For the queries in Russian, the algorithm is additionally able to process the requests with participle constructions and attributive clauses. As a semantic intermediary language, the algorithm uses the SK-language determined by the considered linguistic database. The class of SK-languages is introduced by the theory of K-representations (knowledge representations) - an original theory of designing semantic-syntactic analyzers of NL-texts with the broad use of formal means for representing input, intermediary, and output data. The current version of this theory is stated in the monograph of the author published by Springer in 2010. The developed algorithm is implemented by means of the programming language PYTHON.
The paper reports the results of the cognitive mapping procedure applied to a series of interviews with the reviewers of the Russian Foundation for Basic Research. The procedure can be qualified as a qualitative research method, which allows to produce a graphic representation of the cognitive content of the respondents’ speech. The interviews touched upon the criteria and methods used by the reviewers in evaluating research proposals, as well as the value basis of the Russian scientific community. Cognitive mapping was applied to 15 interviews, which allowed to conclude that the examined group possessed coincident beliefs in regard to the following themes: recognition of the crucial value of the information about the principal investigator for the review process; understanding basic research not so much as purely curiosity driven but as aimed at a distant practical goal, which is viewed as an argument for funding a wide range of different basic research topics; accentuation of the meaning of earnings and favorable work conditions as motivations to engage in science as opposed to purely creative and self-actualizing motives; accentuation of the emigration of young talented researchers or their choice to engage a different career path as a key problem of science in Russia.