论文标题
网络上的知识图 - 概述
Knowledge Graphs on the Web -- an Overview
论文作者
论文摘要
知识图是知识表示形式。虽然Google首先创建了“知识图”一词并将其推广为改善搜索结果的一种手段，但它们当今已用于许多应用程序。在知识图中，现实世界中的实体和/或业务领域（例如，人，地方或事件）表示为节点，这些节点是由代表这些实体之间关系的边缘连接的。尽管Google，Microsoft和Facebook等公司都有自己的非公开知识图，但还有更多的公开知识图，例如DBPedia或Wikidata。在本章中，我们提供了这些公开知识图的概述和比较，并深入了解其内容，大小，覆盖范围和重叠。
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 search results, they are used in many applications today. In a knowledge graph, entities in the real world and/or a business domain (e.g., people, places, or events) are represented as nodes, which are connected by edges representing the relations between those entities. While companies such as Google, Microsoft, and Facebook have their own, non-public knowledge graphs, there is also a larger body of publicly available knowledge graphs, such as DBpedia or Wikidata. In this chapter, we provide an overview and comparison of those publicly available knowledge graphs, and give insights into their contents, size, coverage, and overlap.
