Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Towards Qos-Based Web Services Discovery, Jun Yan, Jingtai Piao
Towards Qos-Based Web Services Discovery, Jun Yan, Jingtai Piao
Dr Jun Yan
The current UDDI-based web services discovery technologies are designed to discover services which can satisfy consumers’ functional requirements. The consumers’ non-functional requirements such as quality of services are largely ignored in discovery. This may lead to the problem that the services returned from discovery are ineffective and even useless. To solve this problem, this paper presents an approach to achieving QoS-based Web services discovery. Data structures are proposed for both service providers and service consumers to describe non-functional information about services. A serial of algorithms are developed for matching and ranking services according to consumers’ non-functional requirements.
Business Rules Discovery From Process Design Repositories, Jantima Polpinij, Aditya K. Ghose, Hoa Khanh Dam
Business Rules Discovery From Process Design Repositories, Jantima Polpinij, Aditya K. Ghose, Hoa Khanh Dam
Professor Aditya K. Ghose
Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although they contain information that are valuable for the process of discovering business rules. This paper will propose an alternative approach to process mining in terms of using process designs as the mining resources. We propose a number of techniques for extracting business rules from repositories of business process designs or models, leveraging the well-known Apriori algorithm. Such business rules are then used as a prior knowledge for further analysing, verifying, …
Waypoints On A Journey Of Discovery: Mental Models In Human Environment Interactions, Timothy Lynam, Raphael Mathevet, Michel Etienne, Samantha Stone-Jovicich, Anne Leitch, Nathalie Jones, Helen Ross, Derick Du Toit, Sharon Pollard, Harry Biggs, Pascal Perez
Waypoints On A Journey Of Discovery: Mental Models In Human Environment Interactions, Timothy Lynam, Raphael Mathevet, Michel Etienne, Samantha Stone-Jovicich, Anne Leitch, Nathalie Jones, Helen Ross, Derick Du Toit, Sharon Pollard, Harry Biggs, Pascal Perez
Professor Pascal Perez
Although the broad concept of mental models is gaining currency as a way to explore the link between how people think and interact with their world, this concept is limited by a theoretical and practical understanding of how it can be applied in the study of human-environment relationships. Tools and processes are needed to be able to elicit and analyze mental models. Because mental models are not directly observable, it is also important to understand how the application of any tools and processes affects what is measured. Equally important are the needs to be clear on the intent of the …
Business Rules Discovery From Process Design Repositories, Jantima Polpinij, Aditya K. Ghose, Hoa Khanh Dam
Business Rules Discovery From Process Design Repositories, Jantima Polpinij, Aditya K. Ghose, Hoa Khanh Dam
Dr Hoa Dam
Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although they contain information that are valuable for the process of discovering business rules. This paper will propose an alternative approach to process mining in terms of using process designs as the mining resources. We propose a number of techniques for extracting business rules from repositories of business process designs or models, leveraging the well-known Apriori algorithm. Such business rules are then used as a prior knowledge for further analysing, verifying, …