An ontology alignment framework for data-driven microservices
Ivan Luiz Salvadori, Bruno C. N. Oliveira, Alexis Huf, Eduardo Camilo Inacio, Frank Siqueira · 2017
The integration of heterogeneous data sources can be done by using data-driven microservices along with Semantic Web technologies. However, it becomes a challenge in cross-domain scenarios, in which data is described by heterogeneous ontologies. This work discusses data integration problems in the context of microservices and proposes an ontology alignment framework aimed at achieving semantic data-driven microservices composition for data integration in multi-ontology scenarios. The proposed framework is evaluated through an experimental design to obtain a suitable statistical analysis of the effects that may be considered for modeling data-driven microservices.