IoT-SVKSearch: A real-time multimodal search engine mechanism for the internet of things

ISCAS OpenIR

	IoT-SVKSearch: A real-time multimodal search engine mechanism for the internet of things
	Ding, Zhiming (1); Chen, Zhikui (2); Yang, Qi (3); Ding, Z.(zhiming@nfs.iscas.ac.cn)
	2014
发表期刊	International Journal of Communication Systems
ISSN	10745351
卷号	27 期号:6 页码:871-897
摘要	Recent advances on the Internet of Things (IoT) have posed great challenges to the search engine community. IoT systems manage huge numbers of heterogeneous sensors and/or monitoring devices, which continuously monitor the states of real-world objects, and most data are generated automatically through sampling. The sampling data are dynamically changing so that the IoT search engine should support real-time retrieval. Additionally, the IoT search involves not only keyword matches but also spatial-temporal searches and value-based approximate searches, as IoT sampling data are generally from spatial-temporal scenario. To meet these challenges, we propose a 'Hybrid Real-time Search Engine Framework for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions' ('IoT-SVK Search Engine' or simply 'IoT-SVKSearch' for short) in this paper. The experiments show that the IoT-SVK search engine has satisfactory performances in supporting real-time, multi-modal retrieval of massive sensor sampling data in the IoT. Copyright © 2013 John Wiley & Sons, Ltd.; Recent advances on the Internet of Things (IoT) have posed great challenges to the search engine community. IoT systems manage huge numbers of heterogeneous sensors and/or monitoring devices, which continuously monitor the states of real-world objects, and most data are generated automatically through sampling. The sampling data are dynamically changing so that the IoT search engine should support real-time retrieval. Additionally, the IoT search involves not only keyword matches but also spatial-temporal searches and value-based approximate searches, as IoT sampling data are generally from spatial-temporal scenario. To meet these challenges, we propose a 'Hybrid Real-time Search Engine Framework for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions' ('IoT-SVK Search Engine' or simply 'IoT-SVKSearch' for short) in this paper. The experiments show that the IoT-SVK search engine has satisfactory performances in supporting real-time, multi-modal retrieval of massive sensor sampling data in the IoT. Copyright © 2013 John Wiley & Sons, Ltd.
收录类别	SCI ; EI
关键词	Search Engines Index Methods Sensor Networks Spatial-temporal Databases Internet Of Things InFormation Retrieval For Big Data
部门归属	(1) Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) School of Software Technology, Dalian University of Technology, Dalian 116620, China; (3) National Center of ITS Engineering and Technology, Beijing 100088, China
语种	英语
WOS记录号	WOS:000337607000005
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16858
专题	中国科学院软件研究所
通讯作者	Ding, Z.(zhiming@nfs.iscas.ac.cn)
推荐引用方式 GB/T 7714	Ding, Zhiming ,Chen, Zhikui ,Yang, Qi ,et al. IoT-SVKSearch: A real-time multimodal search engine mechanism for the internet of things[J]. International Journal of Communication Systems,2014,27(6):871-897.
APA	Ding, Zhiming ,Chen, Zhikui ,Yang, Qi ,&Ding, Z..(2014).IoT-SVKSearch: A real-time multimodal search engine mechanism for the internet of things.International Journal of Communication Systems,27(6),871-897.
MLA	Ding, Zhiming ,et al."IoT-SVKSearch: A real-time multimodal search engine mechanism for the internet of things".International Journal of Communication Systems 27.6(2014):871-897.