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Title:
a hybrid search engine framework for the internet of things
Author: Ding Zhiming ; Dai Jian ; Gao Xu ; Yang Qi
Source: Proceedings - 9th Web Information Systems and Applications Conference, WISA 2012
Conference Name: 9th Web Information Systems and Applications Conference, WISA 2012
Conference Date: November 16, 2012 - November 18, 2012
Issued Date: 2012
Conference Place: Haikou, Hainan, China
Keyword: World Wide Web
Indexed Type: EI
Department: (1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) National Center of ITS Engineering and Technology Beijing 100088 China
Sponsorship: China Computer Federation; IEEE Computer Society; Technical Committee of Office Automation of; China Computer Federation; Hainan University
Abstract: 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. © 2012 IEEE.
English Abstract: 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. © 2012 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15885
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Ding Zhiming,Dai Jian,Gao Xu,et al. a hybrid search engine framework for the internet of things[C]. 见:9th Web Information Systems and Applications Conference, WISA 2012. Haikou, Hainan, China. November 16, 2012 - November 18, 2012.
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