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A Hybrid Search Engine Framework for the Internet of Things

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4 Author(s)
Zhiming Ding ; Inst. of Software, Beijing, China ; Jian Dai ; Xu Gao ; Qi Yang

Efficient retrieval of dynamically generated, spatial-temporal, and heterogeneous sampling data in the Internet of Things is a key challenge in recent years. However, current search engine techniques are not suitable for such kind of data. To solve this problem, we propose a Hybrid Search Engine Technique for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions ("IoT-SVK Search Engine"), in this paper. The IoT-SVK search engine has satisfactory performances in supporting multi-modal retrieval conditions, and thus provides a good solution for real-time searching of massive sampling data in the Internet of Things.

Published in:

Web Information Systems and Applications Conference (WISA), 2012 Ninth

Date of Conference:

16-18 Nov. 2012

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