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

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


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.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: