In an open context such as the Semantic Web, information providers usually rely on different ontologies to semantically characterize contents. In order to enable interoperability at a semantic level, ontologies underlying information sources must be linked by discovering alignments, that is, set of correspondences or mappings. The aim of this paper is to provide a formal model (i.e., Semantic F...

Semantic mapping is one of the important components underlying the data sharing systems. As is known, constructing and maintaining such mappings both are necessary yet extremely hard processes. While many current works focus on seeking automatic techniques to solve such problems, the mapping itself is still left as an undecorated expression, and in practice it is still inevitable for the user t...

Graph convolutional neural network (GCN) has drawn increasing attention and attained good performance in various computer vision tasks, however, there is a lack of clear interpretation GCN’s inner mechanism. For standard networks (CNNs), class activation mapping (CAM) methods are commonly used to visualize the connection between CNN’s decision image region by generating heatmap. Nonetheless, su...