Feedback-based annotation, selection and refinement of schema mappings for dataspaces

The specification of schema mappings has proved to be time and resource consuming, and has been recognized as a critical bottleneck to the large scale deployment of data integration systems. In an attempt to address this issue, dataspaces have been proposed as anagement abstraction that aims to reduce the up-front cost required to setup a data integration system by gradually specifying schema mappings through interaction with end users in a pay-asyou-go fashion. As a step in this direction, we explore an approach for incrementally annotating schema mappings using feedback obtained from end users. In doing so, we do not expect users to examine mapping specifications; rather, they comment on results to queries evaluated using the mappings. Using annotations computed on the basis of user feedback, we present a method for selecting from the set of candidate mappings, those to be used for query evaluation considering user requirements in terms of precision and recall. In doing so, we cast ...

• Type: Conference
• Year: 2010
• Where: EDBT
• Authors: Khalid Belhajjame, Norman W. Paton, Suzanne M. Embury, Alvaro A. A. Fernandes, Cornelia Hedeler
• Keywords: Candidate Mappings, Database, EDBT 2010, Refining Schema Mappings, Schema Mappings