Ken Smith
ABSTRACT
Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. Decision makers need to reason about data model interactions much as they do about data instance interactions in OLAP: at multiple levels of granularity. We demonstrate an integrated environment for exploring schema similarity across multiple resolutions. Users visualize and interact with clusters of related schemas using a tool named Affinity. Within any cluster, users may drill-down to examine the extent and content of schema overlap. Further drill down enables users to explore fine-grained element-level correspondences between between two selected schemas.
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Digital Library
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- OpenII. Project webpage. openintegration.org, 2009.Google Scholar
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- K. Smith, P. Mork, L. Seligman, A. Rosenthal, M. Morse, D. Allen, and M. Li. The role of schema matching in large enterprises. In CIDR 09, 2009.Google Scholar
- B. Yost, C. Bonaceto, M. Morse, C. Wolf, and K. Smith. Visualizing schema clusters for agile information sharing. In The 2009 IEEE Information Visualization Conference (Poster), October 2009.Google Scholar
Index Terms
- Exploring schema similarity at multiple resolutions
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