ABSTRACT
Schema mapping is a challenging problem. It has come to the fore in recent years; there are important applications like database schema integration and, more recently, digital library merging of heterogeneous data. Previous studies have approached the schema mapping process either from algorithmic or visualization perspectives, with few integrating both. With Schema Mapper we demonstrate a semi-automatic tool for schema integration that combines a novel visual interface with an algorithm-based recommendation engine. Schemas are visualized as hyperbolic trees (see Fig. 1), thus allowing more schema nodes to be displayed at one time. Matches to selections are recommended to the user, which makes the mapping operation easier and faster.
- Schema Mapper, 2005. http://feathers.dlib.vt.edu/~etana/integrationGoogle Scholar
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- Schema Mapper User Study Report, 2005. http://feathers.dlib.vt.edu/~etana/Papers/Report.docGoogle Scholar
- Ravindranathan, U. Prototyping digital libraries handling heterogeneous data sources - An ETANA-DL case study, Masters Thesis. Dept. Comp. Sci., Virginia Tech, 2004, http://scholar.lib.vt.edu/theses/available/etd-04262004-153555Google ScholarCross Ref
- Ravindranathan, U., Shen, R., Gonçalves, M.A., Fan, W., Fox, E. A. and Flanagan, J.W., Prototyping digital libraries handling heterogeneous data sources - The ETANA-DL case study. In Proc. ECDL, 2004, 186--197.Google Scholar
Index Terms
- Schema mapper: a visualization tool for DL integration
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