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Vispedia: on-demand data integration for interactive visualization and exploration

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International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents

Providence, Rhode Island, USA

DEMONSTRATION SESSION: Demonstration session: group D table of contents

Pages 1139-1142

Year of Publication: 2009

ISBN:978-1-60558-551-2

Authors

Bryan Chan	Stanford University, Stanford, CA, USA
Justin Talbot	Stanford University, Stanford, CA, USA
Leslie Wu	Stanford University, Stanford, CA, USA
Nathan Sakunkoo	Stanford University, Stanford, CA, USA
Mike Cammarano	Stanford University, Stanford, CA, USA
Pat Hanrahan	Stanford University, Stanford, CA, USA

Sponsors

ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

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ABSTRACT

Wikipedia is an example of the large, collaborative, semi-structured data sets emerging on the Web. Typically, before these data sets can be used, they must transformed into structured tables via data integration. We present Vispedia, a Web-based visualization system which incorporates data integration into an iterative, interactive data exploration and analysis process. This reduces the upfront cost of using heterogeneous data sets like Wikipedia. Vispedia is driven by a keyword-query-based integration interface implemented using a fast graph search. The search occurs interactively over DBpedia's semantic graph of Wikipedia, without depending on the existence of a structured ontology. This combination of data integration and visualization enables a broad class of non-expert users to more effectively use the semi-structured data available on the Web.

REFERENCES

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