Semiautomatic Domain Model Building from Text-Data

Abstract

Our research is focused on semiautomatic domain model building from texts written in a natural language. The paper deals with defining the scope of the work and describes approaches of domain model creation and its representation. We describe the context of natural language processing focused on selected frequently solved tasks in this discipline and list some freely available tools suitable for text processing at the semantic level. We introduce appropriate tools and design methods to achieve determined goals. At the end of the paper, an experiment is conducted on which the successes of the implemented methods is verified, and suggestions and considerations for further development are presented.