BIOMEDICAL SCIENCE INFORMATION RETRIEVAL AND MANAGEMENT

此SBIR第一阶段项目的目标是开发将 允许健康专业人员使用以下工具搜索健康科学信息 通过互联网提交的自然语言问题，以及 管理当地实验室和诊所的材料和工艺。 该项目将建立在数据/知识库的成功基础上， 东北大学的Keynet项目。 拟议的信息获取机制将使用搜索引擎 Keynet项目中开发的技术。这个搜索引擎是 价格低廉，但具有高性能和快速响应；此外， 它旨在与结构信息一起使用，而不是普通的 纯文本。特别是，它可以支持对信息的检索 非文本对象，如图像。拟议的搜索引擎将使用 统一的医学语言系统是其基础。 建议的商业应用： 健康科学构成了软件的一个巨大市场，但有 现有的基于知识的软件的例子很少。相应地，有 是一个巨大的潜在市场，即使人们只考虑小规模的研究 学术机构和小公司的实验室。

The goal of this SBIR Phase I project is to develop software that will allow health professionals to search for health science information using natural language questions submitted over the Internet, as well as to manage materials and processes ate their local laboratories and clinics. This project will build on the success of the Data/Knowledge Bases and Keynet Projects at Northeastern University. The proposed information access mechanism will use the search engine technology developed in the Keynet Project. This search engine is inexpensive, yet has high performance and rapid responsiveness; moreover, it is designed to be used with structure information rather than ordinary flat text. In particular, it can support information retrieval of nontextual objects such as images. The proposed search engine will use the Unified Medical Language System as its basis. PROPOSED COMMERCIAL APPLICATION: The health sciences constitute a large market for software, yet there are very few examples of knowledge-based software available. Accordingly there is a large potential market, even if one only considers small research labs in academic institutions and in small companies.