International Journal of Computer Science Issues

More than a traditional journal...

This paper attempts to present an Object-Net method for understanding the meaning of a natural language (i.e. English), and generate the SQL query based on underrating, and produce the data report as per the requirement understanding. It is proposed to model the elementary meanings which assist the machine to autonomously undertake the analysis and synthesis processes of meaning. In the proposed methodology disambiguation process is performed in context manner: starting from natural text, the context of the sentence is identified, then the actual meaning is identified using correlation of elementary object meanings exist in Object-Net database, It is because even ambiguous word will have only one meaning based on the context or object or domain on which the sentence is written. The data warehouse (DW) is a database. The data stored in the warehouse is uploaded from the operational systems. Data warehouse provides the information required by the decision makers. Business intelligence (BI) mainly refers to computer-based techniques used in identifying, extracting, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes. BI technologies provide historical, current and predictive views of business operations using the data from data warehouse (DW). The cost of building a data warehouse (DW) business intelligence (BI) is expensive for any organization as it requires data warehouse tools for building data warehouse and extracting data using data mining tools from data warehouse. The proposed method called Object-Net uses the English language for getting the requirement for business intelligence reporting and identifies meaning of the sentence, internally creates the interface layer, generates query, gets the data and reports for analyzing the data.