The book focuses on Schema Matching, the task of (semi-)automatically
identifying semantic correspondences between elements of metadata
structures, such as, database schemas, ontologies, and XML message
formats. It is of key importance for interoperability and data
integration in numerous applications, such as data warehousing,
integration of web-sources, message mapping in E-business, and ontology
alignment on the Semantic Web. However, in today's systems, schema
matching is still manual; a time-consuming, tedious, and error-prone
process, which becomes increasingly impractical considering the high
complexity and number of schemas and data sources to be dealt with. In
this book, the author Do Hong Hai describes the architecture,
functionality, and evaluation of the schema matching system COMA++
(Combining Matchers), which was developed by himself in his Ph.d thesis.
COMA++ represents a generic and customizable system for semi-automatic
schema matching, which can combine different match algorithms in a
flexible way. In comprehensive evaluations using large real-world
schemas and ontologies, COMA++ has shown high quality as compared to the
state of the art, proving its practicability for different domains. In
addition, the book describes a new data integration approach, GenMapper
(Generic Mapper), which utilizes instance-level correspondences between
objects of data sources.
