III: EAGER: Aspect-Oriented Data Weaving

这个研究项目的目标是开发一个新的数据库范例，称为面向方面的数据（AOD）。AOD允许使用面向方面编程将横切数据关注点添加到数据库中。跨领域数据问题是指普遍（可能适用于整个数据库）和广泛（可用于增强许多不同的数据库）的数据需求。数据有各种各样的横切数据问题，包括起源、时间、血统和安全性。因此，这项研究有可能影响每个数据库。该项目通过执行以下任务实现其目标：1）为面向方面的数据开发一个模型，（元数据）可以“标记”或注释数据，2）构建数据方面编织器以将建议编织到查询、约束和数据修改中，3）针对常见的跨领域问题开发特定于建议的模块，插入数据方面编织器并添加特定于建议的行为，4）证明方面本身可以被方面化以建模元-元数据，以及5）为AOD开发测试用例。数据方面编织器正在为Pig Latin开发，这是一个用于数据分析的云计算平台。该研究影响了数据库管理系统，科学数据库和数字政府。该项目支持博士学位。学生在数据库中进行研究。该研究的出版物、技术报告和软件在该项目的网站（http：//www.cs.usu.edu/aspectOrientedData）上传播。

The goal of this research program is to develop a new paradigm for databases, called aspect-oriented data (AOD). AOD enables cross-cutting data concerns to be added to a database using aspect-oriented programming. A cross-cutting data concern is a data need that is universal (potentially applicable to the entire database) and widespread (can be used to enhance many, different databases). Data has a wide variety of cross-cutting data concerns, including provenance, time, lineage, and security. So this research has the potential to impact every database. The project achieves its goal by conducting the following tasks: 1) Develop a model for aspect-oriented data in which advice (metadata) can "tag" or annotate data, 2) Build a data aspect weaver to weave the advice into queries, constraints, and data modification, 3) Develop advice-specific modules for common cross-cutting concerns that plug into the data aspect weaver and add advice-specific behaviors, 4) Demonstrate that aspects themselves can be aspected to model meta-metadata, and 5) Develop test cases for AOD. The data aspect weaver is being developed for Pig Latin, which is a cloud-computing platform for data analysis. The research impacts database management systems, scientific databases, and digital government. The project supports a Ph.D. student to pursue research in databases. Publications, technical reports, and software from this research are disseminated on the project's web site (http://www.cs.usu.edu/~cdyreson/aspectOrientedData).