Mashup by surfing a web of data APIs

Authors:
Huajun Chen;Bin Lu;Yuan Ni;Guotong Xie;Chunying Zhou;Jinhua Mi;Zhaohui Wu
Affiliations:
Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;IBM China Research Lab, Beijing, China;IBM China Research Lab, Beijing, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China
Venue:
Proceedings of the VLDB Endowment
Year:
2009

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Abstract

We present sMash, a system for facilitating users to mashup Web data. The aspects emphasized by the demo are: (1) how to help novice users master data APIs and relationships amongst them easily; (2) how to inspire various users to build more amazing Web data mashups. First, a real-life data API network is constructed and visualized to enable users to surf and mashup. Second, two kinds of recommendations are generated dynamically based on a comprehensive analysis of the network, user's traces and a repository of mashups to provide navigation.