Biodiversity and Ecosystem Informatics (BDEI): Biodiversity Information Organization Using Taxonomy [BIOT]

美国堪萨斯大学生物多样性信息组织（BIOT）生物资源是美国经济繁荣的基础。这些财富的智慧影响着当代人和子孙后代，因此，必须基于可获得的最佳信息做出决策。由于互联网上所有内容的快速增长，各种类型的在线生物信息也相应增加。然而，庞大的数据量，其质量和物理分布的差异很大，使得决策者不可能在没有现有信息的情况下做出关键决策。本项目旨在研究和开发智能知识管理工具，并将其应用于这一重要领域。特别是，我们将研究分类法作为参考本体的使用，以提供一个概念框架，允许智能代理浏览广泛分布在万维网上的各种格式的生物多样性信息。我们的目标有四个方面：1)研究分类法作为浏览生物多样性信息的参考本体的使用；2)评价生物多样性信息（网站和个人网页）自动分类技术；3)根据用户的专业知识和需求提供个性化信息；4)为生物多样性信息的智能搜索、可视化和个性化的更大的、多学科的努力奠定基础。该项目建议以堪萨斯大学目前正在进行的有关信息发现、检索和传递的现有工作为基础，特别是obiwan项目（基于本体的网络资源搜索、浏览和可视化）和PEET项目（用于保存和扩展生物多样性信息）。堪萨斯大学和国家生物信息基础设施（NBII）之间已经建立了合作伙伴关系，以利用现有的堪萨斯大学nsf研究协议中产生的知识、专业知识和工具。由于这种合作关系，第一个生物多样性信息智能搜索代理BioBot已经开发出来。

EIA-0131835Guach, SusanUniversity of Kansas Center for Research Inc.BDEI: Biodiversity Information Organization using Taxonomy (BIOT)SummaryBiological resources are the basis of much of this Nations prosperity. The wisestewardship of these riches affects current and future generations and, therefore, must berooted in decisions based on the best information available. Because of the rapid growthof all content on the Internet, there is a corresponding increase in online biologicalinformation of all types. However, the sheer volume of data, and its widely varyingquality and physical distribution make it impossible for decision makers to make criticaldecisions without the benefit of the existing body of information. This project aims toinvestigate and develop intelligent knowledge management tools and deploy them in thisimportant domain. In particular, we will investigate the use of a taxonomy as a referenceontology to provide a conceptual framework to allow intelligent agents to browsebiodiversity information in a variety of formats widely distributed on the World WideWeb.Our goals are four fold: 1) to investigate the use of a taxonomy as a reference ontologyfor browsing biodiverity information; 2) to evaluate techniques to automatically classifybiodiversity information (web sites and individual web pages; 3) to personalize theinformation presented to the users expertise and needs; and 4) lay the groundwork forlarger, multidisciplinary, efforts in intelligent search, visualization, and personalization ofbiodiversity information.This project proposes to build on existing work currently being done at the University ofKansas related to information discovery, retrieval, and delivery, particularly theOBIWAN project for ontology based search, browsing and visualization of Webresources and the PEET project for preserving and extending biodiversity information. Apartnership has already been established between the University of Kansas and theNational Biological Information Infrastructure (NBII) to capitalize on the knowledge,expertise, and tools that have grown out of the existing University of Kansas NSFresearch agreement. As a result of this partnership, the first intelligent search agent forbiodiversity information, BioBot, has been developed.