Abstract
Recently, schema matching has found considerable interest in both research and practice. Determining matching components of database or XML schemas is needed in many applications, e.g. for E-business and data integration. Various schema matching systems have been developed to solve the problem semi-automatically. While there have been some evaluations, the overall effectiveness of currently available automatic schema matching systems is largely unclear. This is because the evaluations were conducted in diverse ways making it difficult to assess the effectiveness of each single system, let alone to compare their effectiveness. In this paper we survey recently published schema matching evaluations. For this purpose, we introduce the major criteria that influence the effectiveness of a schema matching approach and use these criteria to compare the various systems. Based on our observations, we discuss the requirements for future match implementations and evaluations.
The authors did not give a name to their system, so we refer to it in this paper using the initials of the authors’ names.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andritsos, P. et al: Schema Management. IEEE Bulletin on Data Engineering 25: 3, 2002
Berlin, J., A. Motro: Autoplex: Automated Discovery of Content for Virtual Databases. CoopIS 2001
Berlin, J., A. Motro: Database Schema Matching Using Machine Learning with Feature Selection. CAiSE 2002
Bergamaschi, S., S. Castano, M. Vincini, D. Beneventano: Semantic integration of heterogeneous information sources. Data & Knowledge Engineering 36: 3, 2001
Castano, S., V. De Antonellis: A Schema Analysis and Reconciliation Tool Environment. IDEAS 1999
Clifton, C., E. Housman, A. Rosenthal: Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases. IFIP 2.6 Working Conf. Database Semantics 1996
Do, H.H., E. Rahm: COMA-A System for Flexible Combination of Schema Matching Approach. VLDB 2002
Doan, A.H., P. Domingos, A. Halevy: Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach. SIGMOD 2001
Doan, A.H., J. Madhavan, P. Domingos, A. Halevy: Learning to Map between Ontologies on the Semantic Web. WWW 2002
Embley, D.W., D. Jackman, L. Xu: Multifaceted Exploitation of Metadata for Attribute Match Discovery in Information Integration. WIIW 2001
Li, W.S., C. Clifton: Semantic Integration in Heterogeneous Databases Using Neural Networks. VLDB 1994
Li, W.S., C. Clifton: SemInt: A Tool for Identifying Attribute Correspondences in Heterogeneous Databases Using Neural Network. Data and Knowledge Engineering 33: 1, 2000
Li, W.S., C. Clifton, S.Y. Liu: Database Integration Using Neural Networks: Implementation and Experiences. Knowledge and Information Systems 2: 1, 2000
Madhavan, J., P.A. Bernstein, E. Rahm: Generic Schema Matching with Cupid. VLDB 2001
Melnik, S., H. Garcia-Molina, E. Rahm: Similarity Flooding: A Versatile Graph Matching Algorithm. ICDE 2002
Milo, T., S. Zohar: Using Schema Matching to Simplify Heterogeneous Data Translation. VLDB 1998, 122–133
Mitra, P., G. Wiederhold, J. Jannink: Semi-automatic Integration of Knowledge Sources. Fusion 1999
Naumann, F., C.T. Ho, X. Tian, L. Haas, N. Megiddo: Attribute Classification Using Feature Analysis. ICDE 2002 (Poster)
Palopoli, L., G. Terracina, D. Ursino: The System DIKE: Towards the Semi-Automatic Synthesis of Cooperative Information Systems and Data Warehouses. ADBIS-DASFAA 2000
Rahm, E., P.A. Bernstein: A Survey of Approaches to Automatic Schema Matching. VLDB Journal 10: 4, 2001
Van Rijsbergen, C.J.: Information Retrieval. 2nd edition, 1979, London, Butterworths.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Do, HH., Melnik, S., Rahm, E. (2003). Comparison of Schema Matching Evaluations. In: Chaudhri, A.B., Jeckle, M., Rahm, E., Unland, R. (eds) Web, Web-Services, and Database Systems. NODe 2002. Lecture Notes in Computer Science, vol 2593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36560-5_17
Download citation
DOI: https://doi.org/10.1007/3-540-36560-5_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00745-6
Online ISBN: 978-3-540-36560-0
eBook Packages: Springer Book Archive