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How Does an Expert System Get Its Data?

Summary: Examines scaling expert systems from small fact stores to large populations of declarative facts. Proposes a staged integration of Prolog/first-order-logic inference with relational DBMS facilities, addressing the data-management gap in ES architectures. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
7770
Venue
VLDB
Year
1983
Pagerank
8.0152154e-05
Overall Rank
2,869 | 80.32%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{vassiliou_vldb83,
        title = {{How Does an Expert System Get Its Data?}},
        author = {Vassiliou, Yannis and Clifford, James and Jarke, Matthias},
        journal = {PVLDB},
        series = {{VLDB} '83},
        year = {1983}
}

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