A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities base...

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Veröffentlicht in:	arXiv.org 2020-07
Hauptverfasser:	Sun, Zequn, Zhang, Qingheng, Hu, Wei, Wang, Chengming, Chen, Muhao, Akrami, Farahnaz, Li, Chengkai
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alignment Benchmarks Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Databases Computer Science - Learning Datasets Embedding Evaluation Graphs Statistics - Machine Learning
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