Design and Implementation of a Domain Specific Rule Engine

Author(s):  
Mengdong Chen ◽  
Xinjian Zhou ◽  
Dong Wu ◽  
Xianghui Xie
Author(s):  
Federico Cabitza ◽  
Iade Gesso

In the last years, researchers are exploring the feasibility of visual language editors in domain-specific domains where their alleged user-friendliness can be exploited to involve end-users in configuring their artifacts. In this chapter, the authors present an experimental user study conducted to validate the hypothesis that adopting a visual language could help prospective end-users of an electronic medical record define their own document-related local rules. This study allows them to claim that their visual rule editor based on the OpenBlocks framework can be used with no particular training as proficiently as with specific training, and it was found user-friendly by the user panel involved. Although the conclusions of this study cannot be broadly generalized, the findings are a preliminary contribution to show the importance of visual languages in domain-specific rule definition by end-users with no particular IT skills, like medical doctors are supposed to represent.


Author(s):  
Kirsten R. Butcher ◽  
Madlyn Runburg ◽  
Roger Altizer

Dino Lab is a serious game designed to explore the potential of using games in scientific domains to support critical thinking. Through collaborations with educators and scientists at the Natural History Museum of Utah (NHMU), game designers and learning scientists at the University of Utah, and Title I middle school teachers and students, the authors have developed a beta version of Dino Lab that supports critical thinking through engagement in a simulation-based game. Dino Lab is organized around four key game stages that incorporate high-level goals, domain-specific rule algorithms that govern legal plays and resulting outcomes, embedded reflection questions, and built-in motivational features. Initial play testing has shown positive results, with students highly engaged in strategic game play. Overall, results suggest that games that support critical thinking have strong potential as student-centered, authentic activities that facilitate domain-based engagement and strategic analysis.


2012 ◽  
pp. 211-218 ◽  
Author(s):  
Agostino Poggi ◽  
Michele Tomaiuolo

Expert systems are successfully applied to a number of domains. Often built on generic rule-based systems, they can also exploit optimized algorithms. On the other side, being based on loosely coupled components and peer to peer infrastructures for asynchronous messaging, multi-agent systems allow code mobility, adaptability, easy of deployment and reconfiguration, thus fitting distributed and dynamic environments. Also, they have good support for domain specific ontologies, an important feature when modelling human experts’ knowledge. The possibility of obtaining the best features of both technologies is concretely demonstrated by the integration of JBoss Rules, a rule engine efficiently implementing the Rete-OO algorithm, into JADE, a FIPA-compliant multi-agent system.


2016 ◽  
pp. 399-422
Author(s):  
Hirra Anwar ◽  
Muhammad Awais Shibli ◽  
Umme Habiba

Numerous Cloud Identity Management (IdM) systems have been designed and implemented to meet the diverse functional and security requirements of various organizations. These requirements are subjective in nature; for instance, some government organizations require security more than efficiency while others prioritize performance and immediate response over security. However, most of the existing IdM systems are incapable of handling the user-centricity, security & technology requirements and are also domain specific. In this regard, this chapter elaborates the need to use Cloud Computing technology for enhancing the effectiveness and transparency of IdM functions and presents a comprehensive and well-structured Extensible IdM Framework for Cloud based e-government institutions. We present the design and implementation details of the proposed framework, followed by a case study which shows how government organizations of Pakistan would use the proposed framework to improve their IdM processes and achieve diverse IdM services.


2020 ◽  
Vol 166 ◽  
pp. 517-522
Author(s):  
Kun Qu ◽  
Ting Gong ◽  
Jianfei Shao

Author(s):  
Hirra Anwar ◽  
Muhammad Awais Shibli ◽  
Umme Habiba

Numerous Cloud Identity Management (IdM) systems have been designed and implemented to meet the diverse functional and security requirements of various organizations. These requirements are subjective in nature; for instance, some government organizations require security more than efficiency while others prioritize performance and immediate response over security. However, most of the existing IdM systems are incapable of handling the user-centricity, security & technology requirements and are also domain specific. In this regard, this chapter elaborates the need to use Cloud Computing technology for enhancing the effectiveness and transparency of IdM functions and presents a comprehensive and well-structured Extensible IdM Framework for Cloud based e-government institutions. We present the design and implementation details of the proposed framework, followed by a case study which shows how government organizations of Pakistan would use the proposed framework to improve their IdM processes and achieve diverse IdM services.


Sign in / Sign up

Export Citation Format

Share Document