RDFAdaptor: Efficient ETL Plugins for RDF Data Process

Abstract Purpose The interdisciplinary nature and rapid development of the Semantic Web led to mass publication RDF data in a large number widely accepted serialization formats, thus developing out necessity for processing with specific purposes. paper reports on an assessment chief endpoint challenges introduces Adaptor, set plugins which covers whole life-cycle high efficiency. Design/methodology/approach RDFAdaptor is designed based prominent ETL tool—Pentaho Data Integration—which provides user-friendly intuitive interface allows connect various sources reuses Java framework RDF4J as middleware that realizes access repositories, SPARQL endpoints all leading database solutions 1.1 support. It can support effortless services configuration templates multi-scenario applications, help extend process tasks other or tools complement missing functions. Findings proposed comprehensive solution—RDFAdaptor—provides easy-to-use interface, supports integration federation over multi-source heterogeneous repositories endpoints, well manage linked hybrid storage mode. Research limitations plugin several application scenarios process, but error detection/check interaction graph remain be improved. Practical implications provide user enable its usability applications generation, multi-format conversion, remote migration, update semantic query process. Originality/value This first attempt develop components instead systems include extract, consolidate, store basis ecologically mature warehousing environment.