inproceedings

Pierre Maillot and Thomas Raimbault and David Genest and Stéphane Loiseau


Digital Group (2014) : Targeted Linked-Data Extractor




Targeted Linked-Data Extractor

Pierre Maillot and Thomas Raimbault and David Genest and Stéphane Loiseau




inproceedings

International Conference on Agents and Artificial Intelligence (ICAART)

The Linked Data Cloud is too big to be locally manipulated by standard computers and all usecases doesn't need to manipulate the whole cloud. To get exactly what is needed for a specific use-case, we need to obtain the specific parts from each bases of the Linked Data Cloud. This paper proposes a method to smartly extract a sub-part of the Linked Data Cloud driving by a list of resources called seeds. This method consist of extracting data starting from seed resources and recursively expanding the extraction to their neighbours.

To cite this publication :


Pierre Maillot, Thomas Raimbault, David Genest, Stéphane Loiseau: Targeted Linked-Data Extractor. Dans: International Conference on Agents and Artificial Intelligence (ICAART), p. 336–341, 2014.





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