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Knowledge Graphs 2021: A Data Odyssey

Summary: Knowledge Graphs 2021: a data odyssey surveys 15 years of KG construction from web data and their AI-enabled use. A DB-centric view anchors the analysis, urging high-quality maintenance and open challenges, with emphasis on extracting quantitative metrics from text and web tables to broaden KG value. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12534
Venue
VLDB
Year
2021
Pagerank
6.0348379e-05
Overall Rank
4,630 | 67.80%
DOI
10.14778/3476311.3476393

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,520 GitTables: A Large-Scale Corpus of Relational Tables 2023 SIGMOD 7.0131061e-05
3,995 How Large Language Models Will Disrupt Data Management 2023 VLDB 6.5513237e-05
10,538 Ranking Indicator Discovery from Very Large Knowledge Graphs 2025 VLDB 4.1945683e-05
10,845 Versatile Property Graph Transformations 2025 VLDB 4.1945683e-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
14 Online Aggregation 1997 SIGMOD 0.0010801504
221 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00033121824
364 Annotating and Searching Web Tables Using Entities, Types and Relationships 2010 VLDB 0.00025637562
667 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00018440557
2,057 From Natural Language Processing to Neural Databases 2021 VLDB 9.6624862e-05
3,155 Ten Years of WebTables 2018 VLDB 7.4672742e-05
3,635 A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems 2021 SIGMOD 6.8981006e-05
8,787 QuTE: Answering Quantity Queries from Web Tables 2021 SIGMOD 4.4520613e-05
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