Graph Kernels for Task 1 and 2 of the Linked Data Data-Mining Challenge 2013

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
In this paper, the authors present the application of two RDF (Resource Description Framework) graph kernels to task 1 and 2 of the linked data data-mining challenge. Both graph kernels use term vectors to handle RDF literals. Based on experiments with the task data, they use the Weisfeiler-Lehman RDF graph kernel for task 1 and the intersection path tree kernel for task 2 in their final classifiers for the challenge. Applying these graph kernels is very straightforward and requires (almost) no preprocessing of the data.
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