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Embedding Expert Knowledge and Hypothetical Data Bases into a Data Base System

Summary: Introduces hypothetical databases (HDBs) and 'experts' to embed semantic knowledge in a DBMS without schema changes or exposing expert internals. Proposes dynamic containment (vessels), convoy/group semantics, distance, and temporal constraints as first-class notions for location and timing, enabling practical integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2120
Venue
SIGMOD
Year
1980
Pagerank
7.3170657e-05
Overall Rank
3,253 | 77.38%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
414 Timber: A Sophisticated Relation Browser 1982 VLDB 0.0002388204
579 Quel As A Data Type 1984 SIGMOD 0.00019808249
1,200 Hypothetical Data Bases As Views 1981 SIGMOD 0.00013343964
2,155 An Implementation of Hypothetical Relations 1983 VLDB 9.4197523e-05
2,239 Incorporating Computed Relations in Relational Databases 1981 SIGMOD 9.2201166e-05
3,537 Remotely-Sensed Geophysical Databases: Experience and Implications for Generalized DBMSs 1983 SIGMOD 6.9983995e-05
7,093 Transaction Management In An Object-Oriented Database System 1988 SIGMOD 4.8367994e-05
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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.

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