Collaborative Research: Development of New Digital Library Applications in the Context of a Aasic Ontology for Biosystematics Information Using the Literature of Entomology (Ants)

合作研究：利用昆虫学文献（蚂蚁）在生物系统学信息的 AASIC 本体论背景下开发新的数字图书馆应用程序

• 批准号: 0943395
• 负责人: Indra Sarkar
• 金额: $ 5.27万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-18 至 2010-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0943395&HistoricalAwards=false
• 关键词: Collaborative; Research; Development; New; Digital

Proposal Number: IIS-0241229Principal Investigator: Thomas MoritzThis international collaborative project proposes to design and test approaches to mark-up and extraction of scientific date from a corpus drawn from the biosystematics literature of entomology (ants) and to develop a set of applications bases on an ontology for this topical area. Ontologies for natural history information are particularly complex because of the diversity of the source material and selected descriptors. The project will build on digital library work underway at the American Museum of Natural History, on biological informatics at Ohio State University and computer science at Universitat Magdeburg in Germany. The project is jointly sponsored by the German Deutsche Forschungsgemeinschaft.Biosystematics is the science that provides the definitional foundations for organismic biology and for the applied science of biodiversity conservation. Within zoological systematics, insects are a uniquely important group of organisms with major impacts on human health and economics; ants constitute a particularly important group of social insects accounting for a major part of the biomass in tropical rainforests and displaying remarkable diversity and behavioral variation. This proposal is designed to test approaches to mark-up and extraction of scientific data from a corpus of texts drawn from the biosystematics literature of entomology (ants) and to develop a set of applications including powerful search and retrieval strategies to operate on this corpus. Specifically, approaches to automated XML mark-up will be tested using NMNH hypothesized Taxon-X Schema (derived from the implicit structure of scientific publications in biological systematics and already under development at AMNH). Then the corpus of marked-up literature will be used to explore the automated extraction and application of imbedded scientific data including scientific names, morphological characters, species distribution data (for plotting in GIS and contribution to the emerging world database of biological diversity) and collection locales/events for inclusion in a gazetteer of collecting events.Accomplishment of these goals will result in increased worldwide access and usefulness of an extensive body of scientific literature that is now generally restricted to users who have access to major research libraries. The project will also stimulate interdisciplinary interaction between computer scientists and domain specialists in a field that stands to benefit greatly from IT research. The core work of this project will contribute to global efforts to design and implement of similar, general purpose ontological services capable of supporting biological and conservation education at all levels. These project can contribute to research and education in biology by prototyping a model by extending the practical usefulness of the enormous body of legacy literature in biosystematics and contributing to the completion and continuing updating of international biodiversity databases. The corpus of literature to be made available on the Web -- as well as the methodology and protocols for managing them -- occurring in the context of the Commonsphilosophy can create a new model for international access to this literature offering access to biosystematics libraries to those who have never before had such resources available.

该国际合作项目建议设计和测试从昆虫学（蚂蚁）的生物系统学文献中提取科学数据的标记和提取方法，并基于该主题领域的本体开发一套应用程序。由于源材料和所选描述符的多样性，自然历史信息的本体特别复杂。该项目将以美国自然历史博物馆正在进行的数字图书馆工作、俄亥俄州立大学的生物信息学和德国马格德堡大学的计算机科学为基础。该项目是由德国德国Forschungsgemeinschaft联合赞助的。生物系统学是为生物生物学和生物多样性保护的应用科学提供定义基础的科学。在动物学系统中，昆虫是对人类健康和经济产生重大影响的一组独特的重要生物；蚂蚁是一种特别重要的群居昆虫，占热带雨林生物量的重要组成部分，表现出显著的多样性和行为差异。本提案旨在测试从昆虫学（蚂蚁）生物系统学文献文本语料库中标记和提取科学数据的方法，并开发一套包括强大搜索和检索策略在内的应用程序来操作该语料库。具体来说，自动化XML标记的方法将使用NMNH假设的Taxon-X Schema（源自生物系统学中科学出版物的隐式结构，AMNH已经在开发中）进行测试。然后，标记文献的语料库将用于探索嵌入式科学数据的自动提取和应用，包括科学名称，形态特征，物种分布数据（用于在GIS中绘图并为新兴的世界生物多样性数据库做出贡献）和收集地点/事件，以便纳入收集事件的地名辞典。这些目标的实现将导致全球范围内对大量科学文献的访问和有用性的增加，而这些文献现在通常仅限于能够访问主要研究图书馆的用户。该项目还将刺激计算机科学家和领域专家之间的跨学科互动，这些领域的专家将从IT研究中受益匪浅。该项目的核心工作将有助于全球努力设计和实施能够支持各级生物和保护教育的类似的通用本体论服务。这些项目可以通过建立模型原型，扩展生物系统学中大量遗留文献的实际用途，并有助于完成和继续更新国际生物多样性数据库，从而为生物学的研究和教育做出贡献。在共同哲学的背景下，将在网络上提供的文献语料库——以及管理它们的方法和协议——可以为这些文献的国际访问创造一个新的模式，为那些以前从未有过此类资源的人提供访问生物系统图书馆的机会。