In this chapter we introduce the aspect of reasoning in Knowledge Graphs. As in Chap. 2, we will give a broad overview focusing on the multitude of reasoning techniques: spanning logic-based reasoning, embedding-based reasoning, neural network-based reasoning, etc. In particular, we will discuss three dimensions of reasoning in Knowledge Graphs. Complementing these dimensions, we will structure our exploration based on a pragmatic view of reasoning tasks and families of reasoning tasks: reasoning for knowledge integration, knowledge discovery and application services.
CITATION STYLE
Bellomarini, L., Sallinger, E., & Vahdati, S. (2020). Reasoning in knowledge graphs: an embeddings spotlight. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12072 LNCS, pp. 87–101). Springer. https://doi.org/10.1007/978-3-030-53199-7_6
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