mlsanityData to 7 Oct 2026

Predicting Completeness in Knowledge Bases

arXiv 1612.05786 ↗First posted 17 Dec 2016cs.DBcited by 15

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Abstract (arXiv)

Knowledge bases such as Wikidata, DBpedia, or YAGO contain millions of entities and facts. In some knowledge bases, the correctness of these facts has been evaluated. However, much less is known about their completeness, i.e., the proportion of real facts that the knowledge bases cover. In this work, we investigate different signals to identify the areas where a knowledge base is complete. We show that we can combine these signals in a rule mining approach, which allows us to predict where facts may be missing. We also show that completeness predictions can help other applications such as fact prediction.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Dec 2016.

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Citing papers per year: 2021: 2; 2022: 5; 2023: 3; 2024: 4; 2025: 1.

15 papers.

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  1. 2021Knowing the No-match: Entity Alignment with Dangling Casescited by 20
  2. 2022I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learningcited by 15
  3. 2022UnCommonSense: Informative Negative Knowledge about Everyday Conceptscited by 8
  4. 2023Completeness, Recall, and Negation in Open-World Knowledge Bases: A Surveycited by 7
  5. 2022CascadER: Cross-Modal Cascading for Knowledge Graph Link Predictioncited by 5
  6. 2023Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphscited by 5
  7. 2024Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completioncited by 5
  8. 2021Predicting Document Coverage for Relation Extractioncited by 3
  9. 2022Semi-constraint Optimal Transport for Entity Alignment with Dangling Casescited by 2
  10. 2022How Stable is Knowledge Base Knowledge?cited by 2
  11. 2024Textual Entailment for Effective Triple Validation in Object Predictioncited by 2
  12. 2023Explaining ELH Concept Descriptions through Counterfactual Reasoningcited by 0
3 more
  1. 2024Progressive Knowledge Graph Completioncited by 0
  2. 2024Guiding Catalogue Enrichment with User Queriescited by 0
  3. 2025Autoregressive Language Models for Knowledge Base Population: A case study in the space mission domaincited by 0