| 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
|
|
There are no files associated with this item.
|
| 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.
|
|
|
