An Approach to the Development of Software for Effective Search of Scientific Articles

The paper considers a method of information retrieval of scientific articles. Search engine users often find it difficult to formulate a query using a proper terms related to the research area. We propose an approach, in which the system does not modify the user's query but analyses the articles using natural language processing methods and adds semantically similar articles to the initial set of documents. The system for the article search was developed and tested on the collection of 280 scientific articles.