Abstract
In this chapter, we highlight a few shortcomings of RDF2vec, and we discuss possible future ways to mitigate those. Among the most prominent ones, there are the handling of literal values (which are currently not used by RDF2vec), the handling of dynamic knowledge graphs, and the generation of are explanations for systems using RDF2vec (which are currently black box models).
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Notes
- 1.
Such an approach would, however, not allow for similarity search in the vector space directly, but instead require some preprocessing of the concatenated vectors, as discussed in Sect. 7.1.
- 2.
Wikidata is not included here, since it does not use OWL for modeling its ontology. The information on Cyc is based on the openly available OWL translation of CyC. Other OWL constructs, such as existential and universal quantifiers, cardinality constraints, and property chains, were not observed in any of the considered knowledge graphs.
- 3.
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Paulheim, H., Ristoski, P., Portisch, J. (2023). Future Directions for RDF2vec. In: Embedding Knowledge Graphs with RDF2vec. Synthesis Lectures on Data, Semantics, and Knowledge. Springer, Cham. https://doi.org/10.1007/978-3-031-30387-6_8
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