Keyword Search in Databases (Paperback)

Jeffrey Xu Yu, Lu Qin, Lijun Chang

  • 出版商: Morgan & Claypool
  • 出版日期: 2010-01-14
  • 定價: $1,370
  • 售價: 9.0$1,233
  • 語言: 英文
  • 頁數: 156
  • 裝訂: Paperback
  • ISBN: 160845195X
  • ISBN-13: 9781608451951
  • 相關分類: Word資料庫
  • 立即出貨 (庫存 < 3)

商品描述

It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content. The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3, we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structured XML database. In Chapter 5, we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics. Table of Contents: Introduction / Schema-Based Keyword Search on Relational Databases / Graph-Based Keyword Search / Keyword Search in XML Databases / Other Topics for Keyword Search on Databases

商品描述(中文翻譯)

提供使用者彈性的方式來查詢/搜尋資料,就像Google搜尋一樣,已經變得非常重要。本書調查了關於關鍵字搜尋資料庫的最新發展,並著重於使用一組關鍵字在資料庫中尋找物件之間的結構資訊。這些要返回的結構資訊可以是表示包含所需關鍵字的物件在關聯式資料庫或XML資料庫中如何相互連接的樹狀結構或子圖。結構關鍵字搜尋與尋找包含所有使用者給定關鍵字的文件完全不同。前者著重於相互連接的物件結構,而後者著重於物件內容。

本書的組織如下。第1章,我們重點介紹不同情境下結構關鍵字搜尋的主要研究議題。第2章,我們著重於使用SQL查詢語言在關聯式資料庫管理系統中支援結構關鍵字搜尋。我們專注於如何生成一組SQL查詢,可以完全找到關聯式資料庫中記錄之間的所有結構資訊,以及如何高效地評估生成的一組SQL查詢。第3章,我們討論了將整個關聯式資料庫視為大型資料圖形,使用圖形演算法進行結構關鍵字搜尋。第4章,我們討論了在大型樹狀XML資料庫中的結構關鍵字搜尋。第5章,我們突出了關於資料庫關鍵字搜尋的幾個有趣的研究議題。

本書可以作為對結構關鍵字搜尋感興趣的人的延伸調查,也可以作為相關主題的研究生課程的參考書。

目錄:引言/基於模式的關鍵字搜尋關聯式資料庫/基於圖形的關鍵字搜尋/關鍵字搜尋XML資料庫/關於資料庫關鍵字搜尋的其他議題