Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?

19 Feb 2020R. FasoulisK. BougiatiotisF. AisoposA. NentidisG. Paliouras

This paper attempts to compare and combine different approaches for de-tecting errors in Knowledge Graphs. Knowledge Graphs constitute a mainstreamapproach for the representation of relational information on big heterogeneous data,however, they may contain a big amount of imputed noise when constructed auto-matically... (read more)

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