Interest management through policy programming language

• Published in: Proceedings - CSIT 2016: 2016 7th International Conference on Computer Science and Information Technology
• Main Author: Ahmad S.; Abidin S.Z.Z.; Omar N.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2016
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987600728&doi=10.1109%2fCSIT.2016.7549445&partnerID=40&md5=e7987716fd97c866bb413ef450b7514a

Managing interest in collaborative data sharing involves determining interest of both owner and other parties. Interest management method is bound to information such as user request, location, history, preferences and data policies. Considering other researchers' works, managing data interest of sharing for its' constitutional adhered policy are rarely done in computerize manner. With attention that data shared are constituted with policy implicitly or explicitly, this paper proposes an automatic design of data policy via policy programming language in order to handle interest management. The study starts by analyzing secondary data through massive literature reviews. Two pertinent issues on interest management and data policy are explored, analyzed and summarized. Based on the research gap found in these analyses, an interest management for automated data policy is designed. As a case study, a new set of programming constructs are implemented and embedded into an existing collaborative language called JACIE (Java-based Authoring language for Collaborative Interactive Environments) that acts as a policy programming language. The results of this study conform that automated data policy is feasible and functioning well. Thus, this helps an interest manager to have flexible data policy in handling collaborative activities. © 2016 IEEE.