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

2010-05-19T18:34:43Z

Director of Research (if dissertation) or Advisor (if thesis)

Doan, AnHai

Doctoral Committee Chair(s)

Doan, AnHai

Committee Member(s)

• Belford, Geneva G.
• Winslett, Marianne
• Zhai, ChengXiang

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• schema matching
• data integration

Abstract

This dissertation studies the schema matching problem that finds semantic correspon- dences (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 integra- tion 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 pro- vides a novel explanation facility that helps users analyze matches. Next, we develop a framework that automatically tunes multi-component matching systems by synthesiz- ing a collection of matching scenarios. Finally, we show that we can efficiently exploit discovered semantic matches without extra user effort in certain applications.

Graduation Semester

2010-5

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Copyright and License Information

Copyright 2010 Yoonkyong Lee

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