Bingcong Xue’s paper “Introducing Semantic Information for Numerical

Attribute Prediction over Knowledge Graphs” has been accepted by ISWC 2022.

Knowledge graph completion has been long studied on link prediction task to infer missing relations, while literals are paid less attention due to the non-discrete and rich-semantic challenges. In this paper, we focus on the less-explored numerical attribute prediction task on KGs and introduce semantic information for it. Several simple but effective combination strategies are also proposed. Extensive experiments are conducted to show the great effectiveness of both the semantic methods and the combination strategy.