Schema Matching and Mapping-based Data Integration

The book focuses on Schema Matching the task of (semi-)automatically identifyingsemantic correspondences between elements of metadata structuressuch as database schemas ontologies and XML message formats. It is of keyimportance for interoperability and data integration in numerous applicationssuch as data warehousing integration of web-sources message mappingin E-business and ontology alignment on the Semantic Web. Howeverin today's systems schema matching is still manual; a time-consuming tediousand error-prone process which becomes increasingly impractical consideringthe high complexity and number of schemas and data sources to bedealt with.In this book the author Do Hong Hai describes the architecture functionalityand evaluation of the schema matching system COMA++ (Combining Matchers)which was developed by himself in his Ph.d thesis. COMA++ representsa generic and customizable system for semi-automatic schema matchingwhich can combine different match algorithms in a flexible way. Incomprehensive evaluations using large real-world schemas and ontologiesCOMA++ has shown high quality as compared to the state of the art provingits practicability for different domains. In addition the book describes anew data integration approach GenMapper (Generic Mapper) which utilizesinstance-level correspondences between objects of data sources.