Synthesis Lectures on Data Management: Natural Language Data Management and Interfaces (PDF)
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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.
Davood Rafiei did his undergrad work at the Sharif University of Technology, his M.Sc. at the University of Waterloo, and his Ph.D. at the University of Toronto before joining the University of Alberta, where he is now Associate Professor of Computer Science and member of the Database Systems Research Group. His areas of expertise, which span over databases and the Web, is on managing large complex data. In particular, his research interest includes natural language data management and integration, spatial analysis and mining of web content, similarity-based queries and indexing, and web information retrieval. Davood regularly serves in the program committees of major database and data mining conferences (such as SIGMOD, VLDB,
- Autoren: Davood Rafiei , Yunyao Li
- 2018, 156 Seiten, Englisch
- Verlag: Morgan & Claypool Publishers
- ISBN-10: 1681734095
- ISBN-13: 9781681734095
- Erscheinungsdatum: 13.08.2018
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- Größe: 2.23 MB
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