Knowledge Graphs on the Web -- an Overview

• URL: http://arxiv.org/abs/2003.00719v3
• Date: Thu, 12 Mar 2020 10:31:25 GMT
• Title: Knowledge Graphs on the Web -- an Overview
• Authors: Nicolas Heist, Sven Hertling, Daniel Ringler and Heiko Paulheim
• Abstract summary: Google coined the term Knowledge Graph first and promoted it as a means to improve their search results. In a knowledge graph, entities in the real world and/or a business domain are represented as nodes, which are connected by edges. There is also a larger body of publicly available knowledge graphs, such as DBpedia or Wikidata.
• Score: 1.7778609937758327
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 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.

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