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- W3210468054 abstract "An important problem for databases is amplifying efficiency of human-database interaction. This goal can be achieved on different levels where queries form the top level and data structures create the basic level, which has an essential impact on all higher levels. The main efforts in this area have been directed at the development of logical systems for database management. This became a leading application of logic within computer science. This is definitely true, but efficiency of human-database interaction depends not only on logic and corresponding query languages but to a great extent on structuration of data and databases. The purpose of this chapter is to develop novel mathematical tools for data structuration and describe their applications to data visualization and querying. To achieve this goal, we utilize the theory of named sets introducing nested named sets, studying their properties, and applying these results to the development of efficient tools for database management." @default.
- W3210468054 created "2021-11-08" @default.
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- W3210468054 date "2021-01-01" @default.
- W3210468054 modified "2023-10-14" @default.
- W3210468054 title "Nested Named Sets in Information Retrieval" @default.
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- W3210468054 doi "https://doi.org/10.1007/978-3-030-71704-9_30" @default.
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