A Hybrid Search Engine Framework for the Internet of Things Based on Spatial-Temporal, Value-Based, and Keyword-Based Conditions
Zhiming Ding, Xu Liang Gao, Limin Guo, Qi Yang · 2012
In recent years, the Internet of Things (IoT) has become a hot research issue and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the search engine community. In this paper, we analyze the challenges in the IoT search engine technology and propose a "Hybrid Search Engine Framework for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions" ("IoT-SVK Search Engine" for short). The experimental results show that the IoT-SVK search engine has satisfactory performances in supporting multi-modal retrieval conditions, and provides a good solution for real-time retrieval of massive sensor sampling data in the Internet of Things.