Exploring schema repositories with schemr

Authors:
Kuang Chen;Jayant Madhavan;Alon Halevy
Affiliations:
University of California, Berkeley, Berkeley, CA, USA;Google, Inc., Mountain View, CA, USA;Google, Inc., Mountain View, CA, USA
Venue:
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Year:
2009

Citing 5
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Abstract

Schemr is a schema search engine, and provides users the ability to search for and visualize schemas stored in a metadata repository. Users may search by keywords and by example -- using schema fragments as query terms. Schemr uses a novel search algorithm, based on a combination of text search and schema matching techniques, as well as a structurally-aware scoring metric. Schemr presents search results in a GUI that allows users to explore which elements match and how well they do. The GUI supports interactions, including panning, zooming, layout and drilling-in. We demonstrate schema search and visualization, introduce Schemr as a new component of the information integration toolbox, and discuss its benefits in several applications.