Data mashup in the internet of things
Du Zhiquan, Yu Nan, Cheng Bo, Chen Junliang · 2011
Internet of Things technology has aroused tremendous attention from academia and industry. Distributed, diversity and heterogeneous data in the Internet of Things make it difficult for users to efficiently access to valuable needed information. Data mahup, a significant technologic trend that contributes to the advance of Internet of Things, can improve the value of data and help users explore new knowledge. This paper proposes a flexible and simple data mashup prototype, which integrates diversity and distributed data, promotes data sharing and creates new value-added services with two emerging technology, REST and mashup.