Data Exploration on Large Amount of Relational Data through Keyword Queries

D. Beneventano, F. Guerra, Yannis Velegrakis
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引用次数: 2

Abstract

The paper describes a new approach for querying relational databases through keyword search by exploting Information Retrieval (IR) techniques. When users do not know the structures and the content, keyword search becomes the only efficient and effective solution for allowing people exploring a relational database. The approach is based on a unified view of the database relations (performed through the full disjunction operator), where its composing tuples will be considered as documents to be indexed and searched by means of an IR search engine. Moreover, as it happens in relational databases, the system can merge the data stored in different documents for providing a complete answer to the user. In particular, two documents can be joined because either their tuples in the original database share some Primary Key or, always in the original database, some tuple is connected by a Primary / Foreign Key Relation. Our preliminary proposal, the description of the tabular data structure for storing and retrieving the possible connections among the documents and a metrics for scoring the results are introduced in the paper.
基于关键字查询的海量关系数据挖掘
本文利用信息检索(Information Retrieval, IR)技术,提出了一种通过关键词搜索查询关系数据库的新方法。当用户不知道结构和内容时,关键字搜索成为允许人们探索关系数据库的唯一高效的解决方案。该方法基于数据库关系的统一视图(通过完整析取运算符执行),其组合元组将被视为文档,通过IR搜索引擎进行索引和搜索。此外,正如在关系数据库中发生的那样,系统可以合并存储在不同文档中的数据,以便向用户提供完整的答案。特别是,两个文档可以连接,因为它们在原始数据库中的元组共享某个主键,或者在原始数据库中,某些元组通过主/外键关系连接。本文介绍了我们的初步建议、用于存储和检索文档之间可能的连接的表格数据结构的描述以及对结果进行评分的度量。
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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