Semantic Conversion of Transport Data Adopting Declarative Mappings: an Evaluation of Performance and Scalability

The transportation domain is characterised by a multitude of different formats to represent data, thus creating a problem of (lack of) interoperability between systems and a need for data conversion. In or- der to cope with the specific requirements of production systems, special attention should be given to performance and scalability of conversion solutions. In this paper, we present a thorough evaluation of the Chimera framework for semantic data conversion through declarative mappings, in both a dataset and message conversion scenarios. We illustrate the experimental results and we offer our considerations and recommenda- tions for the successful implementation of conversion pipelines exploiting Semantic Web technologies.