mlsanityData to 7 Oct 2026

Knowledge Graphs on the Web -- an Overview

arXiv 2003.00719 ↗First posted 2 Mar 2020cs.AI cs.DBcited by 24

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Abstract (arXiv)

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.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Mar 2020.

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Citing papers per year: 2021: 6; 2022: 3; 2023: 7; 2024: 4; 2025: 4.

24 papers.

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  1. 2022Sequence-to-Sequence Knowledge Graph Completion and Question Answeringcited by 75
  2. 2021Neural Class Expression Synthesiscited by 6
  3. 2021Survey on English Entity Linking on Wikidatacited by 6
  4. 2023KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Taskscited by 6
  5. 2021The CaLiGraph Ontology as a Challenge for OWL Reasonerscited by 5
  6. 2023NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linkercited by 5
  7. 2025Position: Foundation Models for Tabular Data within Systemic Contexts Need Groundingcited by 5
  8. 2023Universal Preprocessing Operators for Embedding Knowledge Graphs with Literalscited by 4
  9. 2024SnapE -- Training Snapshot Ensembles of Link Prediction Modelscited by 4
  10. 2025Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguationcited by 4
  11. 2022The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddingscited by 3
  12. 2023Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInEcited by 3
12 more
  1. 2024HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendationcited by 3
  2. 2022Structural Quality Metrics to Evaluate Knowledge Graphscited by 2
  3. 2025ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Trainingcited by 2
  4. 2025Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Surveycited by 2
  5. 2021Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracycited by 1
  6. 2023Neuro-Symbolic RDF and Description Logic Reasoners: The State-Of-The-Art and Challengescited by 1
  7. 2024Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphscited by 1
  8. 2021Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpediacited by 0
  9. 2021On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpediacited by 0
  10. 2023Knowledge Engineering for Wind Energycited by 0
  11. 2023Conceptual Engineering Using Large Language Modelscited by 0
  12. 2024Class Granularity: How richly does your knowledge graph represent the real world?cited by 0