Putting RDF2vec in Order

• URL: http://arxiv.org/abs/2108.05280v1
• Date: Wed, 11 Aug 2021 15:27:55 GMT
• Title: Putting RDF2vec in Order
• Authors: Jan Portisch, Heiko Paulheim
• Abstract summary: We argue that this might be a shortcoming when training RDF2vec. We show that using a word2vec variant which respects order yields considerable performance gains.
• Score: 1.52292571922932
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The RDF2vec method for creating node embeddings on knowledge graphs is based on word2vec, which, in turn, is agnostic towards the position of context words. In this paper, we argue that this might be a shortcoming when training RDF2vec, and show that using a word2vec variant which respects order yields considerable performance gains especially on tasks where entities of different classes are involved.

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