Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language
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Abstract (arXiv)
Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 20 references that are in the map. First posted on arXiv 15 Jan 2024.
Builds on
7 of 20 references.
References · 7
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
- 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,682
- 2019KGAT: Knowledge Graph Attention Network for Recommendationcited by 343
- 2020FLERT: Document-Level Features for Named Entity Recognitioncited by 45
- 2022Web of Scholars: A Scholar Knowledge Graphcited by 6
- 2023REDrm FM: a Filtered and Multilingual Relation Extraction Datasetcited by 6
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Citing papers per year: 2025: 1.
1 paper.
- 2025MUSEKG: A Knowledge Graph Over Museum Collectionscited by 0
- 2025MUSEKG: A Knowledge Graph Over Museum Collections20 Nov 2025