Collaborative Research: Rapid Digital Specimen Image and Data Capture: A Web Services Solution

协作研究：快速数字样本图像和数据捕获：Web 服务解决方案

• 批准号: 0345341
• 负责人: Michael Donoghue
• 金额: --
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2010-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0345341&HistoricalAwards=false
• 关键词: Collaborative; Research; Rapid; Digital; Specimen

Proposal # DBI-BDI: 0345341 PI: Beaman AbstractYale University has been awarded a grant in collaboration with the New York Botanical Garden and the University of Illinois to create a system to image specimens in natural history collections (plant specimens in this case), use Optical Character Recognition (OCR), Natural Handwriting Recognition (NHR) and Natural Language Processing (NLP) to read the labels on the specimens and parse the label data into its component fields, then enter the data into a database. Modular, configurable, open source web services will provide interoperability and scalability in mirrored, distributed environments. This project will make the data capture of natural history collections much more efficient and lower the associated time and costs per specimen digitized.

提案＃DBI-BDI：0345341 PI：Beaman Abstractyale大学已与纽约植物园和伊利诺伊大学合作授予赠款将标签数据解析到其组件字段中，然后将数据输入数据库。模块化，可配置的开源Web服务将在镜像，分布式环境中提供互操作性和可伸缩性。该项目将使自然历史收集的数据捕获效率更高，并降低数字化的每个标本的相关时间和成本。