Mô Hình Truy Vấn Dữ Liệu Tùy Chọn Dựa Trên Ngữ Nghĩa Của Câu Truy Vấn

Abstract

Currently, along with the expansion of the World Wide Web is the rapid growth of data. Huge data source is still stored in the various database models: relational database, RDF database, ... The abundance of all kinds of database makes it difficult for users to keep up with the development of a query language for accessing databases in which they want to search. This paper presents the approach allows the user can select and query the desired data from two types of popular database are the RDF database and the relational database. Based on the semantics of the query in natural language and selected database type, the system will suggest a corresponding query allows users to check before agreeing to execute.