Rule Base Management Using Meta Knowledge

Summary: RBM constructs a meta-knowledge layer by extracting semantic concepts from rule structures and building a semantic network over the rule base. It partitions rules into concept-aligned rule sets via keyword matching against a dictionary, enabling centralized management of knowledge. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2374
Venue: SIGMOD
Year: 1986
Pagerank: -
Overall Rank: 14,455 | 0.83%
DOI: 10.1145/16894.16880

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Authors

1. Mehdi T Harandi (University of Illinois Urbana-Champaign)
2. Thierry Schang (Thomson-CSS; University of Illinois Urbana-Champaign)
3. Seth Cohen (Teradyne Inc.; University of Illinois Urbana-Champaign)

BibTeX Citation

@inproceedings{harandi_sigmod86,
        title = {{Rule Base Management Using Meta Knowledge}},
        author = {Harandi, Mehdi T and Schang, Thierry and Cohen, Seth},
        series = {{SIGMOD} '86},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/16894.16880},
        url = {https://dl.acm.org/doi/10.1145/16894.16880},
        year = {1986}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

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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

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