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End-user programming of mashups with vegemite

Lin, James, Wong, Jeffrey, Nichols, Jeffrey, Cypher, Allen, Lau, Tessa A.·2009·Proceedings of the 14th international conference on Intelligent user interfaces

Abstract

Mashups are an increasingly popular way to integrate data from multiple web sites to fit a particular need, but it often requires substantial technical expertise to create them. To lower the barrier for creating mashups, we have extended the CoScripter web automation tool with a spreadsheet-like environment called Vegemite. Our system uses direct-manipulation and programming-by-demonstration tech-niques to automatically populate tables with information collected from various web sites. A particular strength of our approach is its ability to augment a data set with new values computed by a web site, such as determining the driving distance from a particular location to each of the addresses in a data set. An informal user study suggests that Vegemite may enable a wider class of users to address their information needs.

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Metadata

Authors
Lin, J., Wong, J., Nichols, J., Cypher, A., & Lau, T. A.
Venue
Proceedings of the 14th international conference on Intelligent user interfaces
Publisher
ACM
Published
2009-02-08
Pages
97-106
OpenAlex
W2102480769
Cited by
177
References
0
FWCI
11.18
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: End-user programming of mashups with vegemite. https://app.cochat.ai/papers/10.1145/1502650.1502667
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Lin, J., Wong, J., Nichols, J., Cypher, A., & Lau, T. A. (2009). End-user programming of mashups with vegemite. Proceedings of the 14th international conference on Intelligent user interfaces. https://doi.org/10.1145/1502650.1502667

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.