a hybrid search engine framework for the internet of things based on spatial-temporal, value-based, and keyword-based conditions

ISCAS OpenIR

	a hybrid search engine framework for the internet of things based on spatial-temporal, value-based, and keyword-based conditions
	Ding Zhiming; Gao Xu; Guo Limin; Yang Qi
	2012
会议名称	2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012
会议录名称	Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012
页码	17-25
会议日期	November 20, 2012 - November 23, 2012
会议地点	Besancon, France
收录类别	EI
ISBN	9780769548654
部门归属	(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) National Center of ITS Engineering and Technology Beijing 100088 China
摘要	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. © 2012 IEEE.; 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. © 2012 IEEE.
关键词	Internet
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15954
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Ding Zhiming,Gao Xu,Guo Limin,et al. a hybrid search engine framework for the internet of things based on spatial-temporal, value-based, and keyword-based conditions[C],2012:17-25.