QBI: Query By Icons

Summary: QBI provides a pure iconic query interface for large distributed databases—no diagrams, only icon manipulation. Intensional browsing and metquery tools auto‑generate path expressions as a single icon, enabling complete queries without schema knowledge or data access, domain independent. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2912
Venue: SIGMOD
Year: 1995
Pagerank: -
Overall Rank: 14,272 | 2.09%
DOI: 10.1145/223784.223890

Incoming Non-self Citations Over Time

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Authors

1. Antonio Massari (Sapienza University)
2. Stefano Pavani (Sapienza University)
3. Lorenzo Saladini (Sapienza University)
4. Panos K. Chrysanthis (University of Pittsburgh)

BibTeX Citation

@inproceedings{massari_sigmod95,
        title = {{QBI: Query By Icons}},
        author = {Massari, Antonio and Pavani, Stefano and Saladini, Lorenzo and Chrysanthis, Panos K.},
        series = {{SIGMOD} '95},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/223784.223890},
        url = {https://dl.acm.org/doi/10.1145/223784.223890},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

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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

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