Sprache: Englisch
Verlag: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Anbieter: moluna, Greven, Deutschland
EUR 74,28
Anzahl: Mehr als 20 verfügbar
In den WarenkorbEinband - flex.(Paperback). Zustand: New.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Schema Matching and Mapping-based Data Integration | Architecture, Approaches and Evaluation | Do Hong Hai | Taschenbuch | 228 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639401240 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: VDM Verlag Dr. Müller Nov 2006, 2006
ISBN 10: 3865509975 ISBN 13: 9783865509970
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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.