IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations
navleft navright Research IRM Open Access IRMA Journals IRM Books Proceedings Membership

The IRMA Community

Calls for Papers
Online Symposium
Newsletters

Research IRM

Click a keyword to search titles using our InfoSci-OnDemand powered search:

Graphical Notations for Rule Modeling

Graphical Notations for Rule Modeling
View Sample PDF
Author(s): Sergey Lukichev (Brandenburg University of Technology at Cottbus, Germany)and Mustafa Jarrar (University of Cyprus, Cyprus)
 Copyright: 2009
 Pages: 23
 Source title: Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
Source Author(s)/Editor(s): Adrian Giurca (Brandenburg Technology University at Cottbus, Germany), Dragan Gasevic (Athabasca University, Canada)and Kuldar Taveter (University of Melbourne, Australia)
 DOI: 10.4018/978-1-60566-402-6.ch004

Purchase

View Graphical Notations for Rule Modeling on the publisher's website for pricing and purchasing information.

Abstract

This chapter describes various graphical notations for rule modeling. Rule modeling methodologies, empowered with graphical notations, play an important role in helping business experts and rule engineers to represent business rules formally for further deployment into a rule execution system. Rules, represented graphically, can be easier understood by business people and by technicians without intensive technical learning. In this chapter we mainly focus on three graphical notations for rules: UML/OCL, URML and ORM. UML/OCL is a mainstream modeling technology in software development, which is also accommodated by some business experts when modeling a system at the semi-formal, platform independent level. URML extends UML with additional graphical symbols and the concept of a rule, which allows visualization of different rule types on top of UML class diagrams. ORM is an alternative methodology with a rich graphical notation for modeling a domain at the conceptual level. The methodological power, graphical expressivity, and verbalization capabilities of ORM have made it the most popular language within the business rules community. This chapter introduces each of these graphical notations, explain how it can be used, and compare them against each other.

Related Content

Sreerakuvandana Sreerakuvandana, Princy Pappachan, Varsha Arya. © 2024. 24 pages.
Sandfreni, Ritika Bansal. © 2024. 57 pages.
Ankita Manohar Walawalkar, Massoud Moslehpour, Thanaporn Phattanaviroj, Suman Kumar. © 2024. 33 pages.
Akshat Gaurav, Brij B. Gupta, Arcangelo Castiglione. © 2024. 30 pages.
Gerry Firmansyah, Shavi Bansal, Ankita Manohar Walawalkar, Suman Kumar, Sourasis Chattopadhyay. © 2024. 33 pages.
Princy Pappachan, Massoud Moslehpour, Ritika Bansal, Mosiur Rahaman. © 2024. 34 pages.
Akshat Gaurav, Brij B. Gupta, Jinsong Wu, Priyanka Chaurasia. © 2024. 27 pages.
IRMA Offers Over 2,500 Full Text Open Access Research Papers for Free Download Click to Start Searching Free IRM Research!

IRMA Sponsors

Sponsor IGI Global

Sponsor eContentPro

Encyclopedia of Information Science and Technology, Fourth Edition
Body Bottom
About Us | Contact | Sitemap | Legal | Policies
Copyright ©2025, Information Resources Management Association. 701 East Chocolate Avenue, Hershey, PA 17033.