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Indexing for Data Models with Constraints and Classes (Extended Abstract)

Summary: Map single-attribute indexing in constraint-based models and attribute+class indexing in OO hierarchies to external dynamic 2D range searching. Present a semi-dynamic index with optimal space O(n/B), optimal query I/O O(log_B n + t/B), amortized insert O(log_B n + (log_B n)^2/B) (expected O(log_B n) for random inserts) and improve class-index queries to O(log_B n + t/B + log_B c). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1002
Venue
PODS
Year
1993
Pagerank
9.3214272e-05
Overall Rank
2,003 | 86.26%
DOI
10.1145/153850.153884

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kanellakis_pods93,
        address = {New York, NY, USA},
        series = {{PODS} '93},
        title = {{Indexing for Data Models with Constraints and Classes (Extended Abstract)}},
        url = {https://dl.acm.org/doi/10.1145/153850.153884},
        doi = {10.1145/153850.153884},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Kanellakis, Paris C. and Ramaswamy, Sridhar and Vengroff, Darren E. and Vitter, Jeffrey S.},
        year = {1993}
}

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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
2,146 H-trees: A Dynamic Associative Search Index for OODB 1992 SIGMOD 9.0842711e-05
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