Semantic matching of State Rubricator of Sci-tech Information and OECD headings

The study was completed to solve the problems of information compatibility and integration of subject subspaces into the single one and information retrieval from heterogeneous resources classified within different classifications of sci-tech information. Based on intellectual analysis and classification synonymity achieved through semantic mapping of hierarchy branches, the tables of SRSTI-OECD headings interreflection were designed. The mapping tables are supplemented with indices comprising Russian-English and English-Russian keywords and word combinations to classify OECD subject domains. The statistics of defined semantic matches distribution of classification numbers in SRSTI thematical classes is included. The SRSTI-OECD «adapter» (semantic links between the classifications and two-language subject indices) makes the component of the single network of interrelated classification systems being developed at the Russian National Public Library for Science and Technology