Development of a Transformer of Natural Language Descriptions of Knowledge Pieces into the Collections of OWL-expressions

This work is devoted to the development of automatic converter of natural language text sets into OWL- expressions. Paper consists of chapters. Chapter 1 provide theoretical overview of the «Semantic Web» Project. Chapter 2 considers the possibility of using natural language processing systems for the automatic creation of ontologies. Chapter 3 describes the system that was created and examples of its work. Method for the automatic conversion of natural language texts in collections of OWL-expressions was developed. . This result served as a basis for development in Python. The method described can be used for working with a large number of languages. Moreover LDB for many common languages ​​(English, German, French) will have a much simpler structure. For further investigationthe following areas can be identified : the expansion of system capacity (increase in the number owl- templates, adding the ability to create instances of classes), increase in the level of detailisation for created ontologies (eventually this restriction should be removed), the creation of multilingual algorithm (adding languages ​)