I-Corps: An Interactive Query Interface

I-Corps：交互式查询界面

• 批准号: 1831005
• 负责人: Isil Dillig
• 金额: $ 5万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-04-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831005&HistoricalAwards=false
• 关键词: Corps; Interactive; Query; Interface

The broader impact/commercial potential of this I-Corps project will be to enable companies and end-users to more easily extract relevant information from data sources. This system can be beneficial for a wide range of companies including e-commerce, business intelligence, and database and could systems. It is envisioned that this technology will be used in two ways: First, companies can use the system internally to enable easier and faster data access for their employees, thereby reducing dependence on database administrators and cutting costs. Second, companies could use the system externally to provide a better search interface to their customers. In addition, this technology can potentially also be useful to academic researchers, particularly within social and natural sciences, by allowing them to easily extract relevant data.This I-Corps project provides an interface for extracting data from databases by writing English sentences. Although relational databases are the most common choice for the storage of information, retrieving a relevant subset of the data from them requires expertise in a formal query language. This technology allows end-users to query information stored in a relational database without having to learn a formal query language. The technology is based on a research which combines advanced natural language processing techniques with automated program synthesis and repair. A key advantage of this approach is that it is database-agnostic and does not require end-users to know the database schema.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目更广泛的影响/商业潜力将是使公司和最终用户能够更轻松地从数据源中提取相关信息。该系统可以为包括电子商务，商业智能，数据库和云系统在内的各种公司带来好处。据设想，这项技术将以两种方式使用：首先，公司可以在内部使用该系统，使员工能够更轻松、更快速地访问数据，从而减少对数据库管理员的依赖，降低成本。其次，公司可以在外部使用该系统，为客户提供更好的搜索界面。此外，该技术还可以帮助学术研究人员，特别是社会科学和自然科学领域的研究人员轻松提取相关数据。I-Corps项目提供了一个通过编写英语句子从数据库中提取数据的界面。虽然关系数据库是存储信息的最常见选择，但从其中检索数据的相关子集需要正式查询语言的专业知识。该技术允许最终用户查询存储在关系数据库中的信息，而无需学习正式的查询语言。该技术基于一项研究，该研究将先进的自然语言处理技术与自动程序合成和修复相结合。这种方法的一个主要优点是它是数据库无关的，不需要最终用户知道数据库schema.This奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。