RMLx: Mapping interface for integrating open data with linked data exploration environment

Abstract

Abstract-Recent advances in linked data generation through mapping such as RML (RDF mapping language) allows for providing large-scale RDF data in a more automatic way. However, considerable amount of data in open data portals remain inaccessible as linked data. This is due to the nature of data portals having large number of small-size dataset which makes writing mapping description becomes tedious and error-prone. Moreover, these data sources requires additional preprocessing before To solve this challenge, We introduce extensions to RML to support required tasks and developed RMLx, a visual webinterface to create RML mappings. Using this interface, the process of creating mapping description can become faster and less error-prone. Furthermore, the process of linked data generation can be wrapped as to enable integration with other data in a linked data exploration environment. We explore on four different use cases to identify the requirements followed by describing how these are solved.