Web datasets integration with RDF-AI

author: Fran├žois Scharffe, Montpellier Laboratory of Informatics, Robotics, and Microelectronics (LIRMM), University of Montpellier 2
published: Aug. 3, 2009,   recorded: July 2009,   views: 2961
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Description

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.

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