Data Integration over Distributed and Heterogeneous Data Endpoints

Data integration is a broad area encompassing techniques to merge data between data sources. Although there are plenty of efficient and effective methods focusing on data integration over homogeneous data, where instances share the same schema and range of values, their applications over heterogeneous data are less clear. This thesis considers data integration within the environment of the Semantic Web. More particularly, we propose a novel...