On the single networked links between classifications of sci-tech information. (Part 1. "The converters" between classifications. Methodological approaches to comparing classifications)

Abstract

The Russian National Public Library for Science and Technology has been developing the single network of links between the classifications of various types of scientific subjects with the core GRNTI (State Rubricator of Sci-tech In-formation, The Rubricator) as the backbone classifier of the State System of Sci-tech Information (GSNTI). The key universal approaches toward science data rep-resentation to support compatibility and integration of information resources classified within different systems are defined. The procedure for building the network of matching headings and subjects in sci-tech classifications is described. Based on intellectual analysis method and the principle of classification synonymy through semantic comparison of hierarchy branches and conceptual comparison of subject numbers of individual thematic headings, the tables of interreflections of the Rubricator headings and codes in other classifications are generated. The UDC and Rubricator are matched on the first level of the Rubricator classes. Totally, 144 semantic matches for the Rubricator thematic classes are found. Matching the Rubricator to HAC classifier (Higher Attestation Commission), OECD international classifier, WoS subject domains and categories is accomplished for all three Rubricator levels. Through matching the Rubricator and HAC classifier, approx. 7,000 matches are identified; the Rubricator and OECD classifier – about 11,500 matches, and the Rubricator and WoS classification – over 18,000 match-es identified.