DATABASE SEMANTIC MODEL APPLICATION IN NATURAL LANGUAGE USER INTERFACE DEVELOPMENT PROCESS

Abstract

Subject of Research.The paper considers common natural language processing stages such as morphological, syntactic and semantic analysis. We describe connections between query parts, semantic model and internal database representation. Method. A method is proposed for the database semantic model application as a part of the natural language user database interface. There is a description of the semantic model data transforms to intermediate Q-representation of the user query. The next step is transforming of Q-representation to database SQL query based on substitution to predefined query template. Main Results. We give an account of the semantic model application as a part of natural language user interface. An example is provided of the transformation of both simple and nested natural language user queries to the database SQL query. The paper presents experimental research results of the proposed method of the semantic model application as a part of the natural language user database interface. Practical Relevance. Implementation of the proposed approach gives the possibility to resolve the problem of extracting information from the database based on user’s natural language query. This method also improves the process of resolving the ambiguity during natural language processing. The presence of information about internal database structure makes it possible to create more accurate database SQL query.