Natural Language Data Management and Interfaces

Yunyao Li, Davood Rafiei
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引用次数: 11

Abstract

The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces. The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
自然语言数据管理和接口
在过去的二十年中,由于网络的发展、出版的低成本以及印刷文本数字化的进步等因素,自然语言文本数据的数量迅速增加。这种增长与用于搜索和检索信息的自然语言系统的激增相结合,为研究数据库系统和自然语言处理系统重叠的一些领域提供了巨大的机会。本书探讨了两个相互关联且重要的重叠领域:(1)管理自然语言数据和(2)开发与数据库的自然语言接口。它提出了相关的概念和研究问题,最先进的方法,相关的系统,以及研究机会和挑战,涵盖这两个领域。在自然语言数据管理中讨论的相关主题包括数据模型、数据源、查询、存储和索引,以及转换自然语言文本。在自然语言接口下,介绍了这些数据库接口的结构、与查询理解和查询翻译相关的挑战,以及用户交互的相关方面。每个挑战都以系统的方式进行了介绍:首先从主题的快速概述开始,然后全面介绍了为解决这些挑战而提出的最新技术以及说明性示例。它还详细回顾了一些值得注意的系统,说明它们如何应对不同的挑战及其贡献。最后,讨论了自然语言管理和接口面临的挑战和机遇。本书的目标是介绍在管理自然语言数据和构建数据库的自然语言接口中使用的方法、问题和解决方案。对于有兴趣在学术和工业环境中对这些令人兴奋的主题进行进一步研究的读者,它可以作为一个起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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