Data integration approach for semi-structured and structured data (Linked Data)
Mohamed Salah Kettouch, Cristina Luca, Mike Hobbs, Arooj Fatima · 2015
Researchers in the semantic web community have been designing tools and architectures to integrate heterogeneous data originated from distributed sources in the last decade. Technologies, such as RDF, have enabled new data spaces and concept descriptors to define an increasing complex and heterogeneous web of data. To these growing data resource spaces it is necessary to bridge between the different knowledge domains and provide a homogeneous and user-friendly interface. This paper discusses the limitations of some of the existing tools and solutions. The authors also propose a new architecture to integrate, using a mediator and centralised global schema, semi structured heterogeneous sources with large scale of structured data sources, particularly Linked Open Data cloud, and provide a search interface for non-expert users to searching and to accessing to them.