In this article let’s consider the theoretical basis of the data search in large data ordered arrays based on the context of the search request and tracking of semantic relationships. Also the first steps towards the practical implementation of this task are proposed. Simple program to check author’s thoughts has been developed. All the researches have been made with the VK social network. Internal API VK was used as retrieving data tool. The final results say that the VK’s content has many opportunities to make them more useful and searchable, which means that it is possible to use this ‘property’ to create our own, more user-friendly way to search and get important data, in the first, for example, buying-selling information, from many kinds of data sources (official pages, users’ profiles etc.). That feature never been presented (and probably won’t) in other social networks like Facebook or Instagram. The material in this article will be used later while the author’s PhD thesis writing.

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