Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Comparison of Schema Matching Evaluations
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Statistical schema matching across web query interfaces
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Discovering complex matchings across web query interfaces: a correlation mining approach
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
ACM SIGMOD Record
Industrial-strength schema matching
ACM SIGMOD Record
Schema and ontology matching with COMA++
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Measuring the Relative Performance of Schema Matchers
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
EXSMAL: EDI/XML Semi-Automatic Schema Matching ALgorithm
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
Holistic Query Interface Matching using Parallel Schema Matching
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Using Element Clustering to Increase the Efficiency of XML Schema Matching
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Automatic complex schema matching across Web query interfaces: A correlation mining approach
ACM Transactions on Database Systems (TODS)
Matching large ontologies: A divide-and-conquer approach
Data & Knowledge Engineering
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
An experiment on the matching and reuse of XML schemas
ICWE'05 Proceedings of the 5th international conference on Web Engineering
A survey of schema-based matching approaches
Journal on Data Semantics IV
Matching large scale ontology effectively
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
A novel clustering-based approach to schema matching
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Survey of clustering algorithms
IEEE Transactions on Neural Networks
Managing Inconsistencies in Data Grid Environments: A Practical Approach
International Journal of Grid and High Performance Computing
Semantic Interoperability on the Internet of Things: The Semantic Smart Gateway Framework
International Journal of Distributed Systems and Technologies
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With the development and the use of a large variety of DB schemas and ontologies, in many domains e.g. semantic web, digital libraries, life science, etc, matching techniques are called to overcome the challenge of aligning and reconciling these different interrelated representations. Matching field is becoming a very attractive research topic. In this article, the authors are interested in studying scalable matching problem. The authors survey the approaches and tools of large scale matching, when a large number of schemas/ontologies and attributes are involved. They attempt to cover a variety of techniques for schema matching called Pair-wise and Holistic. One can acknowledge that this domain is on top of effervescence and scalable matching needs many more advances. Therefore, they propose our scalable schema matching methodology that deals with the creation of a hybrid approach combining these techniques. Their architecture includes a pre-matching approach based on XML schemas decomposition. As shown by their experiments, their proposed methodology has been evaluated and implementing in a PLASMA Platform for LArge Scale MAtching prototype.