DOI: 10.17587/prin.12.260-266

Searching for Activity Results and Experts in a Given Subject Area, Taking Results Significance into Account

D. A. Shachnev, mitya57@mitya57.me, Software Engineer, Lomonosov Moscow State University, Institute of Mechanics Moscow, 119192, Russian Federation

Corresponding author: Shachnev Dmitry A., Software Engineer, Lomonosov Moscow State University, Institute of Mechanics, Moscow, 119192, Russian Federation, E-mail: mitya57@mitya57.me

The paper describes the mathematical models, algorithms and software tools developed by the author for searching for objects in information analysis systems. A search query is a subject area, which is specified by keywords or rubrics of various classifiers. The search takes into account the relevance of the objects to the query, which is calculated by constructing thematic portraits of the objects and comparing them to the query, as well as the significance of the objects, the rules for calculating which can be set dynamically. Thematic portraits of objects are built by analyzing their relations with other objects in the system, for which a topic is specified. When applied to current research information systems, such an approach can be used to search for scientific results in a given subject area and for experts in this area.

Keywords: CRIS systems, information analysis systems, information search, subject area, keywords, similarity coefficient

pp. 260–266

For citation:
Shachnev D. A. Searching for Activity Results and Experts in a Given Subject Area, Taking Results Significance into Account, Programmnaya Ingeneria, 2021, vol. 12, no. 5, pp. 260—266.