PORSCHE: Performance ORiented SCHEma mediation
Information Systems
A schema matching-based approach to XML schema clustering
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Rewrite techniques for performance optimization of schema matching processes
Proceedings of the 13th International Conference on Extending Database Technology
Structural and semantic aspects of similarity of Document Type Definitions and XML schemas
Information Sciences: an International Journal
Instance-based domain ontological view creation towards semantic integration
Expert Systems with Applications: An International Journal
Towards a More Scalable Schema Matching: A Novel Approach
International Journal of Distributed Systems and Technologies
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Schema matching attempts to discover semantic mappings between elements of two schemas. Elements are cross compared using various heuristics (e.g., name, data-type, and structure similarity). Seen from a broader perspective, the schema matching problem is a combinatorial problem with an exponential complexity. This makes the naive matching algorithms for large schemas prohibitively inefficient. In this paper we propose a clustering based technique for improving the efficiency of large scale schema matching. The technique inserts clustering as an intermediate step into existing schema matching algorithms. Clustering partitions schemas and reduces the overall matching load, and creates a possibility to trade between the efficiency and effectiveness. The technique can be used in addition to other optimization techniques. In the paper we describe the technique, validate the performance of one implementation of the technique, and open directions for future research.