Reactive rules inference from dynamic dependency models

ABSTRACT

Defining dependency models is sometimes an easier, more intuitive way for ontology representation than defining reactive rules directly, as it provides a higher level of abstraction. We will shortly introduce the ADI (Active Dependency Integration) model capabilities, emphasizing new developments: 1. Support of automatic dependencies instantiation from an abstract definition that expresses a general dependency in the ontology, namely a "template". 2. Inference of rules for dynamic dependency models where dependencies and entities may be inserted deleted and updated. We use the eTrade example in order to exemplify those capabilities.

REFERENCES

• 1: Avi Silberschatz , Mike Stonebraker , Jeff Ullman, Database research: achievements and opportunities into the 1st century, ACM SIGMOD Record, v.25 n.1, p.52-63, March 1996 [doi>10.1145/381854.381886]
• 2: A. Adi, O. Etzion, D. Gilat, and G. Sharon, "Inference of Reactive Rules from Dependency Models", LNCS, Springer-Verlag, Heidelberg, November 2003, Vol. 2876, pp. 49--64.
• 3: A.Adi, O. Etzion: The situation manger rule language. RuleML-2002.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Modeling techniques

Additional Classification:
  C. Computer Systems Organization
  C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS
      Subjects: Signal processing systems
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Measurement techniques

General Terms:
Algorithms, Design, Management, Theory

Keywords:
active databases, active systems, dependency models, event correlation, reactive rules, relationships between entities, rule engine