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| George H. L. Fletcher, Catharine M. Wyss, "Mapping Between Data Sources on the Web," International Workshop on Challenges in Web Information Retrieval and Integration, pp. 173-178, International Workshop on Challenges in Web Information Retrieval and Integration, 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/WIRI.2005.25, author = {George H. L. Fletcher and Catharine M. Wyss}, title = {Mapping Between Data Sources on the Web}, journal ={International Workshop on Challenges in Web Information Retrieval and Integration}, volume = {0}, year = {2005}, isbn = {0-7695-2414-1}, pages = {173-178}, doi = {http://doi.ieeecomputersociety.org/10.1109/WIRI.2005.25}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - International Workshop on Challenges in Web Information Retrieval and Integration TI - Mapping Between Data Sources on the Web SN - 0-7695-2414-1 SP173 EP178 A1 - George H. L. Fletcher, A1 - Catharine M. Wyss, PY - 2005 KW - null VL - 0 JA - International Workshop on Challenges in Web Information Retrieval and Integration ER - | |||
The data mapping problem is to discover effective mappings between structured representations of data. These mappings are the basic ?glue? for facilitating large-scale ad-hoc information sharing between autonomous peers in a dynamic environment. Automating their discovery is one of the fundamental unsolved challenges for information integration and sharing on the Web. We outline a general approach to automating the discovery of mappings between relational data sources which leverages new perspectives on the data mapping problem and report on a prototype implementation. Our approach utilizes heuristic search within a space delineated by basic relational transformation operators. A further novelty of our approach is that these operators include data to metadata transformations (and vice versa), allowing a generalization of previous solutions such as token-based schema matching.