Knowledge Graphs on the Web -- an Overview
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.
Keywords
Cite
@article{arxiv.2003.00719,
title = {Knowledge Graphs on the Web -- an Overview},
author = {Nicolas Heist and Sven Hertling and Daniel Ringler and Heiko Paulheim},
journal= {arXiv preprint arXiv:2003.00719},
year = {2020}
}
Comments
Nicolas Heist, Sven Hertling, Daniel Ringler, Heiko Paulheim: Knowledge Graphs on the Web -- an Overview. In: Ilaria Tiddi, Freddy Lecue, Pascal Hitzler (eds.), Knowledge Graphs for eXplainable AI -- Foundations, Applications and Challenges. Studies on the Semantic Web, IOS Press, Amsterdam, 2020, to appear. [extended version]