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: 0241229
• 负责人: Indra Sarkar
• 金额: --
• 依托单位: American Museum Natural History
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至 2010-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0241229&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.

提案编号： IIS-0241229主要研究者： 托马斯莫里茨这一国际合作项目提出设计和测试的方法来标记和提取的科学数据从语料库从生物系统学文献的昆虫学（蚂蚁）和开发一套应用程序的基础上本体论这一主题领域。自然历史信息的本体是特别复杂的，因为源材料和所选择的描述符的多样性。该项目将建立在美国自然历史博物馆正在进行的数字图书馆工作、俄亥俄州州立大学的生物信息学和德国的马格德堡大学的计算机科学基础上。 生物系统学是为有机生物学和生物多样性保护应用科学提供定义基础的科学。在动物系统学中，昆虫是一个独特的重要生物群体，对人类健康和经济产生重大影响;蚂蚁是一个特别重要的社会昆虫群体，占热带雨林生物量的主要部分，并显示出显着的多样性和行为变化。 这项建议的目的是测试方法标记和提取的科学数据从语料库的文本从生物系统学文献的昆虫学（蚂蚁），并开发一套应用程序，包括强大的搜索和检索策略，操作这个语料库。 具体来说，将使用NMNH假设的Taxon-X模式（来自生物系统学科学出版物的隐含结构，AMNH已经在开发中）来测试自动化XML标记的方法。 然后，利用标注文献语料库，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/这些目标的实现将导致在全世界范围内更多地利用和使用广泛的科学文献的主体，现在通常仅限于那些可以访问主要研究图书馆的用户。 该项目还将促进计算机科学家和领域专家之间的跨学科互动，这一领域将从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通用本体服务。 这些项目可以通过扩大生物系统学中大量遗产文献的实际用途，建立一个模型，为生物学的研究和教育做出贡献，并有助于完成和不断更新国际生物多样性数据库。 将在网上提供的文献语料库-以及管理这些文献的方法和协议-在共同体框架内出现，可以为国际上获取这些文献创造一种新的模式，使那些以前从未有过这种资源的人能够进入生物系统学图书馆。