首页|Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems
Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
To determine the essence of the subject it is used standard information contained in databases. It is a structured set of interconnected data of a specific subject area. To find quickly the required information, this database should be structured, input data should also be modeled accordingly. Today, there are different data models with their advantages and disadvantages, and each has its own scope. The article provides examples of problems of semantics that relate to recognition problems. There are speech recognition, child, female, male voice recognition, the problem of clinical diagnostics, comparison of texts on plagiarism, automatic translation of texts from one language to another, etc. There are two ways of comparing the input information and the standard: by the primary signs that describe the object being sought and by the given object. In the second method, the previous coat by certain signs of the standard and of the object is not conducted. At modeling input data to search for information by the first way the coat of given objects by certain signs takes place. The signs are divided into those that characterize only the given object, by which it is quite simple to define it in the database. In this case, the problem is solvable. If the same signs describe different objects, but using differential analysis one can find the desired object, then this problem is partially solvable. If the same signs characterize different objects and the desired object cannot be identified, then a situation of uncertainty arises. There are problems that do not require the libraries of standards for their recognition. In some recognition problems, which may be semantics problems, the input data is divided into segments, with subsequent determination of the similarity of the resulting parts. In this case, the input data contains both the object to be recognized and the standard with which it is compared. In some problems, it is taken as a standard either an expression that determines the similarity of the input data and standard information, or the conditions are specified by which a given object can be recognized. The library of standards is not used to solve these problems.
semantics problemscombinatorial optimizationclusteringcoating by given signs of a particular objectdatabase search used
N.K. Tymofijeva
展开 >
Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev
NETL
NSTL
