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

提案#DBI-BDI：0345341 PI：Beaman Abstran耶鲁大学与纽约植物园和伊利诺伊大学合作，获得了一项拨款，用于创建一个系统，对自然历史收藏中的标本(本例中的植物标本)进行成像，使用光学字符识别、自然手写识别和自然语言处理来读取标本上的标签，并将标签数据解析到其组成部分字段中，然后将数据输入数据库。模块化、可配置、开放源码的Web服务将在镜像的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采集更有效率，并降低每个数字化标本的相关时间和成本。

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.