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Domain translation using relational structure
Hawaii, USA January 04-January 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.37565528th Hawaii International Conference ...
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T. Verghese, Ying Zhou, "Domain translation using relational structure," Hawaii International Conference on System Sciences, pp. 927, 28th Hawaii International Conference on System Sciences, 1995.
 
 
BibTex
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@article{ 10.1109/HICSS.1995.375655,
author = {T. Verghese and Ying Zhou},
title = {Domain translation using relational structure},
journal ={Hawaii International Conference on System Sciences},
volume = {0},
year = {1995},
issn = {1060-3425},
pages = {927},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375655},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Hawaii International Conference on System Sciences
TI - Domain translation using relational structure
SN - 1060-3425
SP
EP
A1 - T. Verghese,
A1 - Ying Zhou,
PY - 1995
KW - 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
VL - 0
JA - Hawaii International Conference on System Sciences
ER -
 
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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