VQFT: A Visual Query Approach Based on Full-Text Search for Knowledge Graphs
Summary: VQFT: visual query approach using faceted full-text indexes to let users build knowledge-graph queries via search-engine-like interactions. Integrates a visual constructor and FT→KG translation; demo user studies show improved learnability and usability over existing KG query methods. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Zhaozhuo Li
- 2. Xin Wang
- 3. Meng Wang
- 4. Yajun Yang
- 5. Bohan Li
- 6. Dong Han
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 789 | Cypher: An Evolving Query Language for Property Graphs | 2018 | SIGMOD | 0.00016634256 |
| 13,190 | KGNav: A Knowledge Graph Navigational Visual Query System | 2023 | VLDB | - |
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