Attaching UI enhancements to websites with end users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Vispedia: on-demand data integration for interactive visualization and exploration
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
A method for category similarity calculation in Wikis
Proceedings of the 6th International Symposium on Wikis and Open Collaboration
Mobile wikipedia: a case study of information service design for chinese teenagers
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: context diversity - Volume Part III
Navigating tomorrow's web: From searching and browsing to visual exploration
ACM Transactions on the Web (TWEB)
Methods for exploring and mining tables on Wikipedia
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
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Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web.These data sets have large, non-uniform schema that require costly data integration into structured tables before visualization can begin. We present Vispedia, a Web-based visualization system that reduces the cost of this data integration.Users can browse Wikipedia, select an interesting data table, then use a search interface to discover, integrate, and visualize additional columns of data drawn from multiple Wikipedia articles. This interaction is supported by a fast path search algorithm over DBpedia, a semantic graph extracted from Wikipedia's hyperlink structure.Vispedia can also export the augmented data tables produced for use in traditional visualization systems. We believe that these techniques begin to address the "long tail" of visualization by allowing a wider audience to visualize a broader class of data. We evaluated this system in a first-use formative lab study. Study participants were able to quickly create effective visualizations for a diverse set of domains, performing data integration as needed.