ISCAS OpenIR
a hybrid search engine framework for the internet of things
Ding Zhiming; Dai Jian; Gao Xu; Yang Qi
2012
Conference Name9th Web Information Systems and Applications Conference, WISA 2012
SourceProceedings - 9th Web Information Systems and Applications Conference, WISA 2012
Pages57-60
Conference DateNovember 16, 2012 - November 18, 2012
Conference PlaceHaikou, Hainan, China
Indexed TypeEI
Department(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) National Center of ITS Engineering and Technology Beijing 100088 China
English AbstractEfficient 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.; 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.
KeywordWorld Wide Web
SponsorshipChina Computer Federation; IEEE Computer Society; Technical Committee of Office Automation of; China Computer Federation; Hainan University
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/15885
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Ding Zhiming,Dai Jian,Gao Xu,et al. a hybrid search engine framework for the internet of things[C],2012:57-60.
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