Improving Agility in Business Applications using Ontology Based Multilingual Understanding of Natural Business Rules

被引:0
|
作者
Joukhadar, Ammar [1 ]
Al-Maghout, Hala [1 ]
机构
[1] Damascus Univ, Informat Technol Fac, Damascus, Syria
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Business applications need to be agile i.e. easily and quickly modified in order to respond to the frequent changes of business policies due to regulatory and market changes. Thus, agility in addition to reduction in cost of maintenance and development are key motivations for the adoption of business rules methodology Domain experts are responsible for specifying business rules which are input to business applications usually by programmers. In order to increase agility, domain experts must be able to specify business rules to business applications directly in natural language without programmers' intervention. In addition, understanding business rules in many languages is highly required, because business rules management systems are universal applications that need to support different languages. In this paper, we present a cost and time effective multilingual solution that improves agility in business application by enabling the domain expert to specify business rules to the business application directly in many natural languages using a novel approach to natural business rules understanding based on the business models and enriched metadata provided by Elixir MDA Framework
引用
收藏
页码:387 / 392
页数:6
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