A Conceptual Model for Dynamic Clustering in Object Databases

Summary: Introduces dynamic clustering for object databases: typeless, directly denotable ad-hoc collections formed by copying objects or aggregating OIDs, with explicit/indefinite and loose/tight semantics. Presents a conceptual model validated in a real application and prototype. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 8284
Venue: VLDB
Year: 1992
Pagerank: 5.2952969e-05
Overall Rank: 9,267 | 36.43%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Qing Li (Hong Kong University of Science and Technology)
2. John L. Smith (Commonwealth Scientific and Industrial Research Organisation)

BibTeX Citation

@article{li_vldb92,
        title = {{A Conceptual Model for Dynamic Clustering in Object Databases}},
        author = {Li, Qing and Smith, John L.},
        journal = {PVLDB},
        series = {{VLDB} '92},
        pages = {457},
        year = {1992}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,888	Clustering Techniques for Minimizing External Path Length	1996	VLDB	6.0498293e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1,145	Objects and Views	1991	SIGMOD	0.00011987662

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