System of classification for personnel selection based upon Ukrainian language ana-lyze

• Veröffentlicht in: PROBLEMS IN PROGRAMMING
• Datum: 2021
• Heft: 4
• Сторінки: 34-40
• ISSN: 1727-4907
• Автори та афіліації: O.P. Zhezherun — National University "Kyiv-Mohyla Academy"; M.S. Ryepkin — National University "Kyiv-Mohyla Academy"
• Ключові слова: аналіз природньої мови, аналіз української мови, система онтологій, онтологія, обробка природньої мови, лексична онтологія, моделювання онтологій, оброблення природної мови, онтологічні категорії, онтологічне моделювання
• Hauptverfasser: Zhezherun, O.P., Ryepkin, M.S.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2021
• Schlagworte: classification system; knowledge base; ontology; Protégé; natural language processing; Ukrainian language processing; UDC 004.89
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/437
• Назва журналу: Problems in programming

The article describes a classification system with natural language processing. Many systems use neural networks, but it needs massive amounts of data for training, which is not always available. Authors propose to use ontologies in such systems. As example of such approach it is shown the classification system, which helps to form a list of the best candidates during the recruitment process. An overview of the methods for ontologies constructing and language analyzers appropriate for classification systems are presented. The system in the form of a knowledge base is constracted. Described system supports Ukrainian and English languages. The  possible ways of system expansion is regarded.Problems in programming 2020; 4: 34-40