Vol 50, No 4 (2016)

Problems of the use of thesauruses for fuzzy comparisons of conceptual patterns are considered. A measure of semantic similarity that can be calculated using hierarchical and association relationships of a thesaurus is proposed, as well as an algorithm to compile a semantic intersection of conceptual patterns based on the coinciding maximum principle. A massive of texts and conceptual search patterns of thesis papers was used for experimental studies, which proved that the use of the lexis of different subject fields of a multi-area thesaurus produced a more precise identification of sematic similarity. The power of the pattern intersection increased significantly through pairs of descriptors linked by the semantic similarity measure; however, the average degree of pairwise intersection only increased by 1–2%, which implies an insignificant “expansion” of a conceptual pattern as it is used as a search pattern in creating search-result outputs in automated search mechanisms.

This paper reviews the methodology that underlies the development of the state scientometric system in the Russian Federation. International practices of scientometric system design are explored. The goals and targets of the Russian scientometric system are defined. The selection principles are formulated. A set of scientometric indicators is proposed for the inclusion in the Russian scientometric system.