Towards an ODMG-Compliant Visual Object Query Language
Summary: QUIVER is a graph-based visual query language for object databases aiming for ODMG-compliance by translating queries to OQL. It provides broad object constructs (objects, literals, attributes, relationships, structures, collections, operations, aggregates, subqueries), visual consistency, and an O2 front-end; evaluation shows easier correct queries than OQL. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Manoj Chavda (University of Cape Town)
- 2. Peter T. Wood (University of Cape Town)
BibTeX Citation
@article{chavda_vldb97,
title = {{Towards an ODMG-Compliant Visual Object Query Language}},
author = {Chavda, Manoj and Wood, Peter T.},
journal = {PVLDB},
series = {{VLDB} '97},
pages = {456},
year = {1997}
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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 |
|---|---|---|---|---|
| 305 | A Graphical Query Language Supporting Recursion | 1987 | SIGMOD | 0.0002159111 |
| 6,368 | Towards a Unified Visual Database Access | 1993 | SIGMOD | 5.8092399e-05 |
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