Institutional Repository
| 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 | |
| Source | International Journal of Communication Systems
 |
| ISSN | 10745351 |
| Volume | 27Issue:6Pages:871-897 |
| English Abstract | 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. |
| Indexed Type | SCI ; EI |
| Keyword | Search Engines Index Methods Sensor Networks Spatial-temporal Databases Internet Of Things InFormation Retrieval For Big Data |
| Department | (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 |
| Language | 英语 |
| WOS ID | WOS:000337607000005 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16858 |
| Collection | 中国科学院软件研究所 |
| Corresponding Author | Ding, Z.(zhiming@nfs.iscas.ac.cn) |
| Recommended Citation 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. |
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