Knowledge Graphs 2021: A Data Odyssey
Summary: Position paper surveying 15 years of web-scale knowledge-graph construction, emphasizing database principles for quality and maintenance. Identifies quantitative fact extraction from text and web tables as a key frontier for richer machine knowledge. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gerhard Weikum (Max Planck Institute)
BibTeX Citation
@article{weikum_vldb21,
title = {{Knowledge Graphs 2021: A Data Odyssey}},
author = {Weikum, Gerhard},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3233--3238},
doi = {10.14778/3476311.3476393},
url = {https://doi.org/10.14778/3476311.3476393},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,790 | GitTables: A Large-Scale Corpus of Relational Tables | 2023 | SIGMOD | 8.1200509e-05 |
| 3,536 | How Large Language Models Will Disrupt Data Management | 2023 | VLDB | 7.3297343e-05 |
| 10,810 | Ranking Indicator Discovery from Very Large Knowledge Graphs | 2025 | VLDB | 5.093636e-05 |
| 11,069 | Versatile Property Graph Transformations | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9 | Online Aggregation | 1997 | SIGMOD | 0.00077458002 |
| 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.0002964847 |
| 317 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB | 0.00021402049 |
| 579 | Incremental Knowledge Base Construction Using DeepDive | 2015 | VLDB | 0.00016217563 |
| 2,175 | From Natural Language Processing to Neural Databases | 2021 | VLDB | 9.0215773e-05 |
| 3,271 | Ten Years of WebTables | 2018 | VLDB | 7.5779937e-05 |
| 3,339 | A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems | 2021 | SIGMOD | 7.5047676e-05 |
| 8,886 | QuTE: Answering Quantity Queries from Web Tables | 2021 | SIGMOD | 5.351298e-05 |
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