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Journal of Intelligent Information Systems

, Volume 1, Issue 2, pp 177–209 | Cite as

Incremental database rule processing in PARADISER

  • Hasanat M. Dewan
  • David Ohsie
  • Salvatore J. Stolfo
  • Ouri Wolfson
  • Sushil da Silva
Article

Abstract

Rule-based systems have been used extensively by the AI community in implementing knowledge-based expert systems. A current trend in the database community is to use rules for the purpose of providing inferential capabilities for large database applications. However, in the database context, performance of rule-program processing has proved to be a major stumbling block particularly in data-intensive and real-time applications. Similar work in the AI community has demonstrated the same problems mainly due to the predominantly sequential semantics of the underlying rule languages. In a previous paper, we presented an incremental evaluation algorithm forDatalog⌝* programs. We show the general applicability of the incremental evaluation algorithm to a broad class ofDatalog-style rule languages with varying operational semantics, denoted byDatalog** to emphasize this generality. We present the proof of correctness of the algorithm within the Datalog** frame work, and its extension for the PARULEL rule language, a principle component of the PARADISER (PARAllel and DIStributed Environment for Rules) rule processing environment for databases. We discuss the meta-rule formalism of PARULEL and argue that it provides a means for programmable operational semantics which separates control from the base logic of a rule program. This allows the realization of a wide range of operational semantics including those of Datalog and OPS5.

Keywords

database rule languages incremental evaluation declarative control structures meta-rules 

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Copyright information

© Kluwer Academic Publishers 1992

Authors and Affiliations

  • Hasanat M. Dewan
    • 1
  • David Ohsie
    • 1
  • Salvatore J. Stolfo
    • 1
  • Ouri Wolfson
    • 2
  • Sushil da Silva
    • 1
  1. 1.Department of Computer ScienceColumbia UniversityNew York
  2. 2.Department of Electrical Engineering and Computer ScienceUniversity of IllinoisChicago

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