Managing Linked Data in the Cloud

管理云中的关联数据

• 批准号: 299462-2013
• 负责人: Consens, Mariano
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=526126
• 关键词: Managing; Linked; Data; Cloud

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.

研究建议目标是显着改善基于云的数据管理技术，以促进网络上结构化和半结构化数据的发布和消费，利用链接数据的功能。链接数据使用图形数据模型，该模型在资源描述格式（RDF）中编码，其中通过Web地址标识了现实世界实体。我们将专注于三个初始方面。 （1）创建新颖的数据和元数据探索方法和工具，这些方法和工具将在现有的能力上显着改善并理解（在网络级）中使用的数据和元数据，这些数据和元数据在网络上的链接数据集内外使用，（2）引入灵活的，基于链接的基于数据的框架，以支持我们的范围，以启用该范围，以启用该范围，并在范围内征服该范围，并在范围内征服范围，并在范围内征服范围，并启用范围的范围。问责制和合规性查询，以检测侵犯隐私行为以及所涉及的各方），以及（3）通过正式化新问题并开发针对云环境量身定制的实验验证的解决方案，开发适合于消耗云上链接数据的应用程序的自主和自我管理技术。