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PREDATOR : An OR-DBMS with Enhanced Data Types

Summary: PREDATOR is an object-relational DBMS with Enhanced ADTs (E-ADTs) that add semantics to rich data (images, audio, video, GIS) to boost performance. Demonstrates SQL querying, content-based indexing, path-indexed retrieval, E-ADT optimization, and a WWW/Java UI. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3055
Venue
SIGMOD
Year
1997
Pagerank
7.6736931e-05
Overall Rank
3,168 | 78.27%
DOI
10.1145/253260.253408

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{seshadri_sigmod97,
        title = {{PREDATOR : An OR-DBMS with Enhanced Data Types}},
        author = {Seshadri, Praveen and Paskin, Mark},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253408},
        url = {https://dl.acm.org/doi/10.1145/253260.253408},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 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 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0024089429
110 Extensible/Rule Based Query Rewrite Optimization in Starburst 1992 SIGMOD 0.0003309592
639 The Design and Implementation of a Sequence Database System 1996 VLDB 0.00015434427
650 The Sequoia 2000 Storage Benchmark 1993 SIGMOD 0.00015319951
726 Client-Server Paradise 1994 VLDB 0.0001460632
2,528 The Case for Enhanced Abstract Data Types 1997 VLDB 8.4620669e-05
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