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This video was recorded at 21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena. With the recent publication of large quantities of RDF data, the Semantic Web now allows concrete applications to be developed. Multiple datasets are effectively published according to the linked-data principles. Integrating these datasets through interlink or fusion is needed in order to assure interoperability between the resources composing them. There is thus a growing need for tools providing datasets management. We present in this paper RDF-AI, a framework and a tool for managing the integration of RDF datasets. The framework includes five modules for pre-processing, matching, fusing, interlinking and post-processing datasets. The framework inplementation results in a tool providing RDF datasets integration functionalities in a linked-data context. Evaluation of RDF-AI on existing datasets shows promising results towards a Semantic Web aware datasets integration tool.

Disciplines:

• Science and Technology  / Computer Science