A Semantic-Enhanced Quality-based Approach to Handling Data Sources in Enterprise Service Bus

Data quality plays an important role in success of organizations. Poor data quality might significantly affect organizations’ businesses since wrong decisions can be made based on data with poor quality. It is therefore necessary to make data quality information available to data users and allow them to select data sources based on their given requirements. Enterprise Service Bus (ESB) can be used to tackle data integration issues. However, data sources are maintained out of the ESB’s control. This leads to a problem faced by users when it comes to selecting the most suitable data source among available ones. In this article, we present an approach to handling data sources in ESB based on data-quality and semantic technology. This introduces a new level of abstraction that can improve the process of data quality handling with the help of semantic technologies. We evaluate our work using three different scenarios within the wind energy domain.

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