Towards the Development of Talend Open Studio Components for the Support of Semantic Sources

The Extract-Transform-Load (ETL) process is the most widely used mechanism to keep a Data Warehouse loading with data extracted from a variety of sources. Currently, tools offering graphical interfaces to facilitate the manipulation of ETL processes have become very popular and have reached a very advanced level of maturity. Talend Open Studio for Data Integration is one of the most popular and comprehensive tools in terms of functionality and performance. So far, this ETL tool provides a large number of components for different data sources. However, the advent of the Semantic Web brings the notion of ontology as a new source of data whose structure is characterized by its complex aspect related to the expressiveness of languages of the knowledge representation. The emergence of this notion is a new challenge. Indeed, to our knowledge, Talend Open Studio for Data Integration does not have any components intended to support ontological sources.In this contribution, we present our approach for the development of Talend Open Studio for Data Integration components in order to use Semantic Web data in ETL processes created with this tool. Using a strategy that promotes the abstraction of ontological sources, this approach can be adapted to different languages of representation of knowledge such as RDF and OWL.In order to assess the usefulness of our approach, we evaluated it as part of a hypothetical example set of a simplistic ontology.