Entity Alignment is the task of finding entities in two knowledge bases that refer to the same real-world object. It plays a vital role in automatically integrating multiple knowledge bases.
Note: results that have incorporated machine translated entity names (introduced in the RDGCN paper) or pre-alignment name embeddings are considered to have used extra training labels (both are marked with "Extra Training Data" in the leaderboard) and are not adhere to a comparable setting with others that have followed the original setting of the benchmark.
<span class="description-source">Source: Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding </span>
The task of entity alignment is related to the task of entity resolution which focuses on matching structured entity descriptions in different contexts.