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.

该I-Corps项目的更广泛的影响/商业潜力将是使公司和最终用户更容易从数据源中提取相关信息。该系统对包括电子商务，商业智能以及数据库和CANS系统在内的众多公司可能是有益的。可以预见，该技术将以两种方式使用：首先，公司可以在内部使用该系统来为员工提供更轻松，更快的数据访问，从而减少对数据库管理员的依赖和削减成本。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，通过允许它们轻松提取相关数据，该技术也可能对学术研究人员，尤其是在社会和自然科学中有用。这项I-Corps项目提供了一个界面，提供了通过编写英语句子来从数据库中提取数据的界面。尽管关系数据库是信息存储的最常见选择，但是从中检索数据的相关子集需要正式查询语言的专业知识。该技术使最终用户可以查询存储在关系数据库中的信息，而不必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化程序合成和维修相结合。这种方法的一个关键优点是它是数据库 - 不可思议的，并且不需要最终用户知道数据库架构。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得支持的。