T. Verghese, Dept. of Accountancy, George Washington Univ., Washington, DC, USA
Ying Zhou, Dept. of Accountancy, George Washington Univ., Washington, DC, USA
We present a multiple effect system task in auditing for which interactions between expert systems requires the knowledge-based translation of a primary model of the task domain into the input domain of each expert system in the organizational decision support system. (ODSS). We propose a constrained descriptive language, based on first order predicate logic, for all the expert systems in a domain. Such a common descriptive language simplifies the translation procedures since source and target language syntax are identical. The language constraints are based on the mathematical notion of a relational structure. We present a reduced scale case to illustrate the use of the language for domain description and translation.
Index Terms:
expert systems; auditing; business data processing; formal logic; decision support systems; domain description; domain translation; multiple effect system task; auditing; expert systems; knowledge-based translation; organizational decision support system; constrained descriptive language; first order predicate logic; common descriptive language; translation procedures; language syntax; mathematical notion; relational structure; translation
Citation:
T. Verghese, Ying Zhou, "Domain translation using relational structure," hicss, pp.927, 28th Hawaii International Conference on System Sciences, 1995
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