Constructing iFlora cloud platform for botany big data integration and public service

Yanan WANG; Huifu ZHUANG; Yuhua WANG

doi:10.11959/j.issn.2096-0271.2016064

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Constructing iFlora cloud platform for botany big data integration and public service

TOPIC:SCIENTIFIC DATA AND APPLICATION INNOVATION | 更新时间：2024-06-03

- Constructing iFlora cloud platform for botany big data integration and public service
- Big data research Vol. 2, Issue 6, Pages: 2016064(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2016064
  CLC： TP391
- Online First：2016-11，
  
  Published：20 November 2016
- 稿件说明：
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Yanan WANG, Huifu ZHUANG, Yuhua WANG. Constructing iFlora cloud platform for botany big data integration and public service[J]. Big data research, 2016, 2(6): 2016064.
DOI：

Yanan WANG, Huifu ZHUANG, Yuhua WANG. Constructing iFlora cloud platform for botany big data integration and public service[J]. Big data research, 2016, 2(6): 2016064. DOI： 10.11959/j.issn.2096-0271.2016064.

摘要

提出了“iFlora—大数据云平台”的建设计划，从可行性和必要性角度出发，介绍了该数据平台的数据需求和初步的工作基础，提出了较详细的建设思路，综述了其应用前景。该平台以“中国植物物种”为核心，从物种名称、文献、图片、DNA、标本、地理分布、种质资源、栽培和价值等角度整合国内外多维度的数据资源，全面整合植物生物多样性宏观、微观各个层面的科学数据。在系统架构上，采用资源层、接口层和服务层的框架完成数据资源的汇集、整合和管理。在服务模式上，开发和开放系统接口，多种方式服务于科学研究、政府决策以及公众科普认知。

Abstract

A construction plan of iFlora cloud platform was proposed.The validity and necessity of this platform were explained.The data demands and the working foundations were introduced.The construction frame was designed.And its applications were prospected.The platform will concentrate on the scientific data of Chinese plant species

including data of species name

reference

photo

DNA sequence

specimen

biogeography data

germplasm

cultivation and usage value.Technically

it will be based on the resource layer

the communication layer and the service layer to collect

integrate and manage the botany data.Functionally

it will be available for science research

governmental decision-making and public education in different ways

such as user interface

data interface and the data analysis service.

关键词

Keywords

references

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Related Institution

School of Information Science and Engineering, Lanzhou University

Key Laboratory of Tourism Information Fusion Processing and Data Ownership Protection, Ministry of Culture and Tourism, Lanzhou University

Technology Information Department, Gansu Provincial Department of Culture and Tourism

School of Computer and Artificial Intelligence, Lanzhou Polytechnical College

Key Laboratory of Artificial Intelligence and Computing Power Technology

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