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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
2994
Venue
SIGMOD
Year
1997
Pagerank
7.911752e-05
Overall Rank
2,915 | 79.75%
DOI
-

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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
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0040465394
107 Extensible/Rule Based Query Rewrite Optimization in Starburst 1992 SIGMOD 0.00048363446
666 The Design and Implementation of a Sequence Database System 1996 VLDB 0.00018431431
667 The Sequoia 2000 Storage Benchmark 1993 SIGMOD 0.00018431008
766 Client-Server Paradise 1994 VLDB 0.0001690298
2,675 The Case for Enhanced Abstract Data Types 1997 VLDB 8.3295149e-05
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