SEI+II(BIO): BioTagger - Biological Entity Tagging Using Online Resources and Machine Learning

随着生物研究步伐的加快，计算机正被用来管理爆炸性的生物信息。许多与生物研究有关的信息要么以编码数据的形式记录在生物数据库中，要么以自由文本的形式记录在期刊文章和生物数据库的注释栏中。自然语言处理工具具有降低生物医学免费文本中信息管理难度的潜力。该项目旨在使用在线资源(例如，遗传数据库、自由文本语料库或机器可读词典)和机器学习技术来构建生物实体标记系统，该系统将文本中提到的术语与数据库中的条目相关联。生物实体标注极具挑战性，因为文本中表示生物实体的术语具有新颖性、同义性和多义性。该项目包括建立生物实体词典和利用在线资源获取消除歧义的知识。它还包括词典查找方法的发展和机器学习技术的使用，以解决歧义、发现新奇和识别同义词。这项研究将产生几项成果，丰富的基因/蛋白质名称、书目和其他注释领域的信息将被整合到UniProt/PIR数据库中，这是一项正在进行的蛋白质数据库国际努力。该项目为哥伦比亚大学、乔治城大学医学中心和位于巴尔的摩县的马里兰大学之间的合作提供了一个机会。该项目还通过让研究生和本科生参与整个项目来整合教育和研究活动。

As the pace of biological research increases, computers are being used to manage the explosive amount of biological information. Much of information relevant to biological research is recorded either as coded data in biological databases or as free text in journal articles and in annotation fields of biological databases. Natural language processing tools have shown to have the potential to decrease the difficulty of managing information in biomedical free text.This project aims to use online resources (e.g., genetic databases, free-text corpora or machine readable dictionaries) and machine learning techniques for the construction of a biological entity tagging system that associates terms mentioned in text with entries in databases. Biological entity tagging is extremely challenging because of novelty, synonymy and ambiguity associated with terms representing biological entities in text. The project includes the construction of a biological entity dictionary and the acquisition of disambiguation knowledge using online resources. It also includes the development of dictionary lookup method and the employment of machine learning techniques for resolving ambiguity, discovering novelty, and recognizing synonymy. The research will generate several deliverables and the enriched information on gene/protein names, bibliography, and other annotation fields will be integrated into UniProt/PIR databases, which is an ongoing international effort on protein databases.The project provides an opportunity of furthering the collaborations among Columbia University, Georgetown University Medical Center and University of Maryland at Baltimore County. The project also integrates educational and research activities by having graduate and undergraduate students involved in the overall project.