Developing, Tuning, and Using Schema Matching Systems

Lee, Yoonkyong

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Description

Title

Developing, Tuning, and Using Schema Matching Systems

Author(s)

Lee, Yoonkyong

Issue Date

2010

Keyword(s)

• data integration
• schema matching

Abstract

This dissertation studies the schema matching problem that finds semantic correspondences (called matches) between disparate data sources. Examples of semantic matches include “location = address” and “name = concat(first-name,last-name).” Schema matching is one of the key challenges for many data sharing and exchange applications. Prime examples of such applications arise in numerous contexts, including data warehousing, scientific collaboration, e-commerce, bioinformatics, and data integration on the World Wide Web. Despite significant progress, many challenges remain. These include discovering complex matches, a prevalent problem in practice, tuning a matching system, and deploying a matching system effectively in an application. In this dissertation, we develop solutions for the three challenges mentioned above. First, we develop a system that discovers both one-to-one and complex matches and provides a novel explanation facility that helps users analyze matches. Next, we develop a framework that automatically tunes multi-component matching systems by synthesizing a collection of matching scenarios. Finally, we show that we can efficiently exploit discovered semantic matches without extra user effort in certain applications.

Type of Resource

text

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