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When compiling databases, for example to meet the needs of healthcareestablishments, there is quite a common problem with the introduction andfurther processing of names and last names of doctors and patients that arehighly specialized both in terms of pronunciation and writing. This is becausenames and last names of people cannot be unique, their notation is not subjectto any rules of phonetics, while their length in different languages may notmatch. With the advent of the Internet, this situation has become generallycritical and can lead to that multiple copies of e-mails are sent to oneaddress. It is possible to solve the specified problem by using phoneticalgorithms for comparing words Daitch-Mokotoff, Soundex, NYSIIS, Polyphone, andMetaphone, as well as the Levenshtein and Jaro algorithms, Q-gram-basedalgorithms, which make it possible to find distances between words. The mostwidespread among them are the Soundex and Metaphone algorithms, which aredesigned to index the words based on their sound, taking into consideration therules of pronunciation. By applying the Metaphone algorithm, an attempt hasbeen made to optimize the phonetic search processes for tasks of fuzzycoincidence, for example, at data deduplication in various databases andregistries, in order to reduce the number of errors of incorrect input of lastnames. An analysis of the most common last names reveals that some of them areof the Ukrainian or Russian origin. At the same time, the rules following whichthe names are pronounced and written, for example in Ukrainian, differradically from basic algorithms for English and differ quite significantly forthe Russian language. That is why a phonetic algorithm should take intoconsideration first of all the peculiarities in the formation of Ukrainian lastnames, which is of special relevance now.

Implementation of an Index Optimize Technology for Highly Specialized Terms based on the Phonetic Algorithm Metaphone