Bogdan Alexe
Abstract
One of the first steps in the process of integrating information from multiple sources into a desired target format is to specify the relationships, called schema mappings, between the source schemas and the target schema. In this demonstration, we showcase a new methodology for designing schema mappings. Our system Eirene interactively solicits data examples from the mapping designer in order to design a schema mapping between a source schema and a target schema. A data example, in this context, is a pair consisting of a source instance and a target instance showing the desired outcome of performing data exchange using the schema mapping being designed. One of the central parts of the system is a module that, given a set of data examples, either returns a "best" fitting schema mapping, or reports that no fitting schema mapping exists.
- B. Alexe, W. C. Tan, and Y. Velegrakis. STBenchmark: Towards a Benchmark for Mapping Systems. PVLDB, 1(1):230--244, 2008.Google Scholar
- B. Alexe, B. ten Cate, P. G. Kolaitis, and W.-C. Tan. Designing and Refining Schema Mappings via Data Examples. In ACM SIGMOD International Conference on Management of Data (SIGMOD), 2011 (to appear).Google ScholarDigital Library
- A. Bonifati, E. Q. Chang, T. Ho, V. S. Lakshmanan, and R. Pottinger. HePToX: Marrying XML and Heterogeneity in Your P2P Databases. In VLDB, pages 1267--1270, 2005.Google ScholarDigital Library
- R. Fagin, P. G. Kolaitis, R. J. Miller, and L. Popa. Data Exchange: Semantics and Query Answering. TCS, 336(1):89--124, 2005.Google Scholar
- L. M. Haas, M. A. Hernández, H. Ho, L. Popa, and M. Roth. Clio Grows Up: From Research Prototype to Industrial Tool. In ACM SIGMOD, pages 805--810, 2005.Google ScholarDigital Library
- P. G. Kolaitis. Schema Mappings, Data Exchange, and Metadata Management. In ACM PODS, pages 61--75, 2005.Google Scholar
- M. Lenzerini. Data Integration: A Theoretical Perspective. In ACM PODS, pages 233--246, 2002.Google ScholarDigital Library
Index Terms
- EIRENE: interactive design and refinement of schema mappings via data examples
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