Received 13.12.2016, Revised 16.02.2017, Accepted 05.04.2017

A context-oriented approach to resolving term ambiguity in quasi-semantic applications

Anton Mykhailiuk, Olena Mykhailyuk, Oleksii Pylypchuk, Volodymyr Tarasenko

A problem of solving the ambiguity of terms which appears in fact at any form of working with text data sets: in information search, during analytical processing of text corps, automatic translation, in engineering ontologies and vocabularies, etc. is considered. A context-oriented approach to automated solving of terms ambiguity problem using a linguistic ontology is proposed. Advantages and disadvantages of the approach and main areas and ways of using are considered

linguistic ontology, text data sets, quasi-semantic approach
22-29
Mykhailiuk, A. , Mykhailyuk, O., Pylypchuk, O., & Tarasenko, V. (2017). A context-oriented approach to resolving term ambiguity in quasi-semantic applications. Information Technologies and Computer Engineering, 14(1), 22-29.

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