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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Binary and multiple stellar systems form the major part of the stellar population of our Galaxy. Depending on the method of discovery of duplicity, data about the stars are included in different catalogues and have a number of identifiers in different systems. The major problem that appears when merging information from stellar catalogues is that each set of data may use a different star designation system so that a given object may have ten or more different names. The linking of the identifiers with the proper entities within binary and multiple systems is done by the index catalogue named Identification List of Binaries (ILB) of the Binary Star DataBase BDB (http://bdb.inasan.ru). Recently the vast amount of data from the Gaia space mission has been published. We developed an algorithm to enhance ILB data for binary and multiple stars before the era of Gaia, with the data for such stars based on Gaia results. The applied algorithm allowed identification of previously unresolved multiple systems, thus significantly clarifying the information available to the scientific community. An analysis of the cross-identification results was also carried out, looking for possible systematic errors in the data on binary and multiple stars in Gaia. The initial results are presented in this work.