Mining valuable hidden knowledge from large-scale data relies on the support of reasoning
technology. Knowledge graphs, as a new type of knowledge representation, have gained …

The current hype of Artificial Intelligence (AI) mostly refers to the success of machine
learning and its sub-domain of deep learning. However, AI is also about other areas, such …

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 …

Populating a database with unstructured information is a long-standing problem in industry
and research that encompasses problems of extraction, cleaning, and integration. Recent …

A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …

The dark data extraction or knowledge base construction (KBC) problem is to populate a
SQL database with information from unstructured data sources including emails, webpages …

Many pressing questions in science are macroscopic: they require scientists to consult
information expressed in a wide range of resources, many of which are not organized in a …

Recent years have seen a drastic rise in the construction of web-scale knowledge bases
(eg, Freebase, YAGO, DBPedia). These knowledge bases store structured information about …

The dark data extraction or knowledge base construction (KBC) problem is to populate a
relational database with information from unstructured data sources, such as emails …

知识推理(KR) 作为知识图谱构建的一个重要环节, 一直是该领域研究的焦点问题.
随着知识图谱应用研究的不断深入和范围的不断扩大, 将图神经网络(GNN) …