Mashup by Surfing a Web of Data APIs

Huajun Chen, Bin Lu, Yuan Ni, Guo Tong Xie, Chunying Zhou, Jinhua Mi, Zhaohui Wu


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.


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