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Loading Data into Description Reasoners

Summary: Converts description-logic KBMS inferences into SQL queries to leverage relational-DBMS optimization while preserving an object-centered semantic view. Addresses translation optimization when semantically equivalent SQL varies in syntax across DBMSs, offering unique DL-based reasoning beyond standard RDBMS/deductive extensions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2642
Venue
SIGMOD
Year
1993
Pagerank
0.00013414765
Overall Rank
1,194 | 91.70%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
27 Efficient and Effective Clustering Methods for Spatial Data Mining 1994 VLDB 0.00080736878
227 Discovery of Multiple-Level Association Rules from Large Databases 1995 VLDB 0.00032284058
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
88 Common Expression Analysis in Database Applications 1982 SIGMOD 0.00052316625
154 An Optimizing Prolog Front-End to a Relational Query System 1984 SIGMOD 0.00040645847
1,462 HOW DOES AN EXPERT SYSTEM GET ITS DATA? (Extended Abstract) 1983 VLDB 0.000118756
3,984 CLASSIC: A Structural Data Model for Objects 1989 SIGMOD 6.5634369e-05
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