Relational machine learning studies methods for the statistical analysis of relational, or
graph-structured, data. In this paper, we provide a review of how such statistical models can …

As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …

In many applications, one can obtain descriptions about the same objects or events from a
variety of sources. As a result, this will inevitably lead to data or information conflicts. One …

In many real world applications, the same item may be described by multiple sources. As a
consequence, conflicts among these sources are inevitable, which leads to an important …

The web is a huge source of valuable information. However, in recent times, there is an
increasing trend towards false claims in social media, other web-sources, and even in news …

Data only generates value for a few organizations with expertise and resources to make
data shareable, discoverable, and easy to integrate. Sharing data that is easy to discover …