iFlora科技领域云的建设构想
A Framework of Scientific-Cloud for iFlora
查看参考文献34篇
|
文摘
|
应对社会公众和国家相关行业和部门对植物物种认知的广泛需求,新一代植物志(iFlora)应运而生。为了服务于该研究计划,本文提出了iFlora科技领域云的建设构想,拟建设由云服务端(资源层、服务层)、植物志智能生成系统、客户端(应用层)和核心用户群组成的信息化协同工作环境和应用平台:即(1)在云端搭建协同工作平台,用以整合植物DNA条形码标准数据库、植物多样性信息数据库、计算模型库等信息化资源; (2)在虚拟化科研平台中嵌入智能生成系统,为终端用户生成和展示智能植物志;(3)在客户端开发多平台移动应用程序,服务于终端用户和实际应用。该建设将遵循植物学发展的规律,在植物学与信息化融合的过程中,形成众多科学工作者能够共同参与的,可共享、无障碍、无缝链接的云工作环境。该环境将整合机器、网络和分类学家的认知能力,为公众认知植物世界提供智能的认知系统。 |
|
其他语种文摘
|
In order to meet the broad requirements of the public and state departments to recognize and distinguish plant species, a plan for the next-generation Flora was proposed, which is internet-, DNA-sequence-and informa- tion-technology-based, i. e., iFlora. In this paper, we suggest and present a research framework of “Scientific- Cloud for iFlora, which is a combination of Resource-Cloud (Resource and Service layer), Intelligent Re-organiza- tion System, Mobile-Clients (Application layer) and Key-Users. (1) Resource-Cloud: a collaborative working plat- form in the cloud site. This platform is used to integrate all relevant information resources, including DNA barcoding reference library, plant biodiversity information, and analysis models. (2) Intelligent Re-organization System of Vir- tualization: a system to retrieve, re-organize and present iFlora-records of a given plant species automatically and in- telligently. (3) Mobile-Clients: software applications of mainstream mobile platforms, such as iOS, android and Windows phone. Constructed by these three parts, the framework will not only service for the key users with co-oper- ating platform but also providing web service for the general public. The construction of this project will gradually combine botany and informatics. We are aiming to construct a sharing, easily accessible, and seamless connected Scientific-Cloud, with which numerous scientists co-operate to- gether for iFlora. In addition, the Scientific-Cloud will integrate cognitive abilities of the machine, network, and taxonomists. It will provide an intelligent public service to perceive the plant world in a new dimension. |
|
来源
|
植物分类与资源学报
,2012,34(6):623-630 【核心库】
|
|
关键词
|
植物DNA条形码
;
新一代植物志
;
科技领域云
;
虚拟化
|
|
地址
|
中国科学院昆明植物研究所科技信息中心, 云南, 昆明, 650201
|
|
语种
|
中文 |
|
ISSN
|
2095-0845 |
|
学科
|
植物学;自动化技术、计算机技术 |
|
基金
|
科技部基础科学数据共享网项目
;
国家科技部科技基础工作专项项目
;
国家863计划
;
中国科学院大科学装置开放研究项目
|
|
文献收藏号
|
CSCD:4728986
|
参考文献 共
34
共2页
|
|
1.
国际生物多样性计划中国委员会.
国际生物多样性计划中国委员会2011年报,2011
|
被引
1
次
|
|
|
|
|
2.
江山. 3G 时代移动互联网发展分析.
信息通信技术,2011(4):13-18
|
被引
1
次
|
|
|
|
|
3.
李德铢. 第18 届国际植物学大会要事记.
植物分类与资源学报,2011,33:518-520
|
被引
3
次
|
|
|
|
|
4.
刘燕红. 社会化阅读与阅读社会化.
雷锋网,2012
|
被引
1
次
|
|
|
|
|
5.
蒲倩.
分布式认知理论与实践研究,2011
|
被引
2
次
|
|
|
|
|
6.
王琳琳. 智能移动终端产业的未来发展战略.
传媒,2012:05
|
被引
1
次
|
|
|
|
|
7.
叶成林. 移动学习研究综述.
电化教育研究,2004,3:12-19
|
被引
1
次
|
|
|
|
|
8.
Anthony R B. ActKey: a Web-based interactive identification key program.
Taxon,2005,54(4):1041-1046
|
被引
1
次
|
|
|
|
|
9.
Bakshy E. Everyone's an influencer: quantifying influence on twitter.
WSDM'11 Proceedings of the Fourth ACM International Conference on Web Search and Data Mining,2011:65-74
|
被引
1
次
|
|
|
|
|
10.
Bold System.
BOLD Handbook,2012
|
被引
1
次
|
|
|
|
|
11.
陈士林. Strategy and key technique of identification of Chinese Herbal Medicine Using DNA Barcoding.
中国天然药物,2009,7(5):322-327
|
被引
54
次
|
|
|
|
|
12.
段光文. On the data management system of plant DNA barcode.
科研信息化技术与应用,2011
|
被引
1
次
|
|
|
|
|
13.
Harris J G.
Plant Identification Terminology: An Illustrated Glossary,2001
|
被引
3
次
|
|
|
|
|
14.
Hebert P. Biological identifications through DNA barcodes.
Proceedings of the Royal Society of London Series B,2003,270(1512):313-321
|
被引
907
次
|
|
|
|
|
15.
.
iBOL
|
被引
1
次
|
|
|
|
|
16.
Knapp S. Changes to publication requirements made at the XVIII International Botanical Congress in Melbourne-what does epublication mean for you?.
PhytoKeys,2011,6:1-5
|
被引
2
次
|
|
|
|
|
17.
Kress W J. Use of DNA barcodes to identify flowering plants.
Proceedings of the National Academy of Sciences of the United States of America,2005,102(23):8369-8374
|
被引
262
次
|
|
|
|
|
18.
Kumar N. Leafsnap: A computer vision system for automatic plant species identification.
Computer Vision-ECCV 2012,2012
|
被引
1
次
|
|
|
|
|
19.
Li D Z. Comparative analysis of a large dataset indicates that internal transcribed spacer (ITS) should be incorporated into the core barcode for seed plants.
Proceedings of the National Academy of Science of the United States of America,2011
|
被引
1
次
|
|
|
|
|
20.
李德铢. 新一代植物志: iFlora.
Plant Diversity and Resources,2012,34(6):525-531
|
被引
32
次
|
|
|
|
|
了解气象卫星更多信息，请访问