Interest management through policy programming language

Suzana Ahmad, S. Z. Abidin, N. Omar
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Abstract

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.
通过策略编程语言进行利益管理
管理协作数据共享中的利益包括确定所有者和其他各方的利益。兴趣管理方法绑定了用户请求、位置、历史、偏好和数据策略等信息。考虑到其他研究人员的工作,很少以计算机化的方式对其“宪法遵守政策”的共享数据利益进行管理。考虑到共享数据是隐式或显式由策略构成的,本文提出了一种基于策略编程语言的数据策略自动设计,以实现兴趣管理。该研究首先通过大量文献综述分析二手数据。对利益管理和数据政策两个相关问题进行了探讨、分析和总结。基于这些分析中发现的研究差距,设计了一个自动化数据策略的兴趣管理。作为一个案例研究,我们实现了一组新的编程构造,并将其嵌入到一种称为JACIE(基于java的协作交互环境创作语言)的现有协作语言中,该语言充当策略编程语言。研究结果表明,自动化数据策略是可行且运行良好的。因此,这有助于兴趣管理人员在处理协作活动时拥有灵活的数据策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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