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   ORPMS: An Ontology-based Real-time Project Monitoring System in the Cloud  
   
نویسنده Dong Hai ,Khadeer Hussain Farookh ,Chang Elizabeth
منبع journal of universal computer science - 2011 - دوره : 17 - شماره : 8 - صفحه:1161 -1182
چکیده    Project monitoring plays a crucial role in project management, which is a part of every stage of a project’s life-cycle. nevertheless, along with the increasing ratio of outsourcing in many companies’ strategic plans, project monitoring has been challenged by geographically dispersed project teams and culturally diverse team members. furthermore, because of the lack of a uniform standard, data exchange between various project monitoring software becomes an impossible mission. these factors together lead to the issue of ambiguity in project monitoring processes. ontology is a form of knowledge representation with the purpose of disambiguation. consequently, in this paper, we propose the framework of an ontology-based real-time project monitoring system (orpsm), in order to, by means of ontologies, solve the ambiguity issue in project monitoring processes caused by multiple factors. the framework incorporates a series of ontologies for knowledge capture, storage, sharing and term disambiguation in project monitoring processes, and a series of metrics for assisting management of project organizations to better monitor projects. we propose to configure the orpms framework in a cloud environment, aiming at providing the project monitoring service to geographically distributed and dynamic project members with great flexibility, scalability and security. a case study is conducted on a prototype of the orpms in order to evaluate the framework
کلیدواژه Ontology ,Product Quality Evaluation ,Project Management ,Project Monitoring ,Project Progress Assessment
آدرس Curtin University of Technology, Digital Ecosystems and Business Intelligence Institute, Australia, Curtin University of Technology, Digital Ecosystems and Business Intelligence Institute, Australia, Curtin University of Technology, Digital Ecosystems and Business Intelligence Institute, Australia
پست الکترونیکی elizabeth.chang@cbs.curtin.edu.au
 
     
   
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