Integration of heterogeneous data for real world domain

There are a large number of companies that have abundant amount of data presented in unstructured forms. For example, accounting firms and banking sectors have clients who may provide financial data for them. However, these clients have data which is of diverse nature. To make this data presentable in a meaningful way, companies usually use their employees to key in data manually to their own systems. This approach is tedious and labor intensive. To facilitate the data processing, these companies normally prefer to have automated softwares that can easily recognize the different formats of data, process and present them in a usable form suitable for further processing. However, there are currently no automated software tools which can perform this task. In this paper, we propose a novel ontological tool in this study to extract data from heterogeneous sources. Our tool will be able to analyze the semantic properties of the various data.