Any complex mathematical or physical problem can be solved easier if it is broken down into several less complex problems. A similar situation occurs when it is necessary to determine the meaning of big data or several meanings of individual data blocks. A mechanism that could combine objects of various kinds with one meaning would help solve a number of problems of sense logic and semantic analysis.
In this article, we describe one of the mechanisms, sense series that allows many different and complex objects to determine the presence of a semantic connection and sense dependence between them.
- Introduction
In traditional mathematics, functions with certain properties can be expanded into numerical or functional series. The purpose of such a decomposition, as a rule, is the transition from a complex function to a group of simple functions.
In the case of the Sense Theory [1], the decomposition of a sense function into a sense series means the definition of a group, finite or infinite, properties or objects that are semantically related to a given function. This approach allows to quickly identify all possible semantic relationships between trillions of objects of different nature.
2. Problem
Traditional decomposition of a function into a numerical or functional series does not provide information about the presence of semantic relationships between the elements of this series. The main problem is 𝑓(𝑥) ≠ 𝑆𝑓 (𝑦), 𝑤ℎ𝑒𝑟𝑒 𝑥 = 𝑦 𝑖𝑛 𝑡ℎ𝑒 𝑡𝑟𝑎𝑑𝑖𝑡𝑖𝑜𝑛𝑎𝑙 𝑚𝑒𝑎𝑛𝑖𝑛𝑔.
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