个人数据管理技术研究

摘要

信息技术的发展使个人数据量迅速增长，个人数据管理问题日益突出。对个人数据管理相关概念进行了阐述，从技术方面对个人数据管理与企业数据管理进行了比较，提出了以主体为中心的个人数据管理系统框架。从数据模型、数据集成、数据存储、数据查询、安全与隐私保护、评价技术、系统实现几个方面，综述分析了已有研究工作，提出了基于图的个人数据空间模型、自适应的个人数据集成方法、多级的数据存储策略和基于用户记忆规律的数据查询处理策略，并对该领域未来研究工作进行了展望。%The development of information technology leads to rapid increment of personal data amount, and how to efficiently manage personal data becomes a serious problem day by day. This paper firstly introduces the related con-cepts of personal data management, makes comparisons between personal data management and enterprise data management, and proposes a user-centered system framework for managing personal data. Based on surveying the existing works on personal data model, data integration, data storage, data query, data security, privacy protection, evaluation technology and system implementation, this paper proposes graph-based personal dataspace model, self adaptive data integration method, multi-level storage policy and user memory rules-based query policy. This paper finally makes an outlook of future works.