DBIQS -一个使用NLP查询和挖掘数据库的智能系统

Rohit Agrawal, Amogh Chakkarwar, Prateek Choudhary, U. A. Jogalekar, D. Kulkarni
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引用次数: 10

摘要

事实在我们的生活中起着至关重要的作用。我们有激进的方法来积累和存储这些事实作为有意义的信息。数据库是以数据形式存储的事实和信息的有组织的集合。一个好的组织必须维护大量的数据。有一些终极工具可以收集并以适当的格式在主存储库中存储海量数据,但用户仍然无法从中充分受益。从这样的存储库中检索有意义的信息需要对SQL等数据库语言有广泛的了解。然而,并不是每个人都能够编写复杂的SQL查询来提取所需的信息。这个复杂的问题可以在很大程度上通过向用户提供一个自然语言接口来解决,用户可以用自己的语言查询数据库。本文提出了一种数据库智能查询系统(DBIQS),它描述了一种完全自动、简单、快速、可靠的数据库查询方式。
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DBIQS — An intelligent system for querying and mining databases using NLP
Facts play a critical role in our lives. We have got radical ways to accumulate and store these facts as meaningful information. A database is an organized collection of facts and information stored in the form of data. A good organization has to maintain lots and lots of data. There are ultimate tools which can collect and store the huge data in its proper format in the main repository but still the users doesn't get benefited from it up to its full potential. Retrieving meaningful information from such repositories requires an extensive knowledge of database languages like SQL. However, not everybody is able to write the complex SQL queries to extract the needful information. This intricate problem can be solved to a great extent by providing a Natural Language Interface to the users using which they can query a database in their own language. In this paper, we propose a Database Intelligent Querying System (DBIQS) which portrays completely automatic, simple, fast and reliable way to query a database.
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