By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Joukhadar, A. ; Inf. Technol. Fac., Damascus Univ., Damascus ; Al-Maghout, H.

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.

Published in:

Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on

Date of Conference:

7-11 April 2008