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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)

Paper ID
13666
Venue
VLDB
Year
2024
Pagerank
4.1945683e-05
Overall Rank
11,114 | 22.69%
DOI
10.14778/3685800.3685884

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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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