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MAPPING STRATEGIES FOR ROLE-ORIENTED STRUCTURES AND RELATIONAL DATABASES IN EXTRACTING SEMANTICALLY HOMOGENEOUS ESSENTIALS TASKS
Abstract
The role-oriented concept of programming is becoming more common in recent times. Expanding the traditional object-oriented paradigm, it allows us to apply a more flexible approach to the development of the information system and simplify the task of the developer. The use of role-oriented structures in modern applications raises the question of storing them in a database. The task of extracting homogeneous semantic entities from structured documents has a high potential for solving with the use of roles or their derivatives. Processing large amounts of data in such tasks requires the use of relational databases for their storage and secondary processing. The use of traditional mapping algorithms requires consideration of the issue of their effectiveness. The evaluation of the application of various algorithms is based on the search for an optimal solution to the problem of minimizing the expenditure of computer time per unit of the transformed entity. Comparative analysis of algorithms of both types makes it possible to evaluate the effect of their implementation in modern information systems. Article may interest students and researchers involved in software development.
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