With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

Abstract Information on the Internet is fragmented and presented in different data sources,
which makes automatic knowledge harvesting and understanding formidable for machines …

In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Since its inception by Google, Knowledge Graph has become a term that is recently
ubiquitously used yet does not have a well-established definition. This section attempts to …

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 …

Recently, the term knowledge graph has been used frequently in research and business,
usually in close association with Semantic Web technologies, linked data, large-scale data …

Abstract Knowledge Graphs are an emerging form of knowledge representation. While
Google coined the term Knowledge Graph first and promoted it as a means to improve their …

With the extensive growth of data that has been joined with the thriving development of the
Internet in this century, finding or getting valuable information and knowledge from these …

Abstract Knowledge graph as a research topic is increasingly popular to represent structural
relations between entities. Recent years have witnessed the release of various open-source …

With the continuous development of intelligent technologies, knowledge graph, the
backbone of artificial intelligence, has attracted much attention from both academic and …