Managing Linked Data in the Cloud

该研究提案的目标是显着改善基于云的数据管理技术，以促进结构化和半结构化数据在Web上的发布和消费，利用关联数据的功能。链接数据使用图形数据模型，以资源描述格式（RDF）编码，其中真实的世界实体通过网址标识。我们将着重于三个初步方面;（1）创造新的数据和元数据探索方法和工具，大大提高现有的探索和理解能力（在网络规模上）在网络上的链接数据集内部和之间使用的数据和元数据，（2）引入灵活的基于链接数据的框架，以支持隐私，透明度，和问责制，利用基于云的大数据分析技术，适合在我们的环境中记录查询（例如用于检测隐私侵犯行为以及相关方的责任和合规性查询），以及（3）开发适用于在云上消费链接数据的应用的自主和自我管理技术，通过形式化新问题和开发针对云环境定制的经过实验验证的解决方案。我们期待探索研究目标的结果（1）鼓励行业和政府组织发布并经常使用网络数据，为他们和社会创造价值。这一目标将有助于增加开放数据的可用性，并有助于电子政务、透明度和企业责任倡议。我们希望隐私研究目标（2）的结果能够降低障碍，使组织对涉及敏感个人信息的Web数据的处理负责。其中一个激励方案将是个人健康数据的隐私。最后，我们希望自我管理研究目标（3）的结果能够简化采用，降低成本，并在管理云Web数据的所有场景中提高性能。

The research proposal objectives are to significantly improve cloud-based data management techniques to facilitate the publication and consumption of structured and semi-structured data on the Web, leveraging the capabilities of Linked Data. Linked Data uses a graph data model, encoded in the Resource Description Format (RDF), where real world entities are identified via web addresses. We will focus on three initial aspects; (1) creating novel data and metadata exploration approaches and tools that will significantly improve upon existing capabilities to explore and to understand (at web-scale) the data and metadata that is used within and across linked datasets on the Web, (2) introducing a flexible, linked data based framework to support privacy, transparency, and accountability that leverages cloud based Big Data analytics techniques that are suitable to log queries in our setting (such as accountability and compliance queries that detect privacy violations as well as the parties involved), and (3) developing autonomic and self-managing techniques appropriate to applications that consume linked data on the cloud, by formalizing new problems and developing experimentally validated solutions that are tailored to the cloud environment.We expect the results of the Exploration research objective (1) to encourage industry and government organizations to publish and also to make regular use of web data to create value for them and for society. This objective will help to increase the availability of Open Data, and contribute to e-Government, transparency, and corporate responsibility initiatives. We expect the results of the Privacy research objective (2) to lower the barriers to make organizations accountable for their treatment of web data involving sensitive individual information. One of the motivating scenarios will be privacy of personal health data. Finally, we expect the results of the Self-managing research objective (3) to simplify adoption, to reduce costs and to improve performance across all scenarios where cloud web data is managed.