Knowledge Graphs on the Web -- an Overview

TL;DR

This paper provides an overview and comparison of publicly available knowledge graphs, discussing their contents, size, coverage, and how they are used in various applications.

Contribution

It offers a comprehensive survey of publicly available knowledge graphs, highlighting their characteristics and differences.

Findings

Comparison of major knowledge graphs like DBpedia and Wikidata.

Insights into the size, coverage, and overlap of these graphs.

Discussion of their applications and significance in the web.

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.