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Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic Intelligence

通过基于名称的分类智能增强基于生物体的疾病知识

基本信息

批准号：
7939675
负责人：
INDRA N SARKAR
金额：
$ 33.97万
依托单位：
MARINE BIOLOGICAL LABORATORY
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-09-30 至 2012-09-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7939675
关键词：
Advanced Development Algorithms Animals Antibiotic Resistance Architecture Bacterial Infections Benchmarking Biodiversity Collaborations Communicable Diseases Communities Containment Controlled Vocabulary Data Sources Databases Development Disease Disease Outbreaks Disease Vectors Ecology Educational workshop Emerging Communicable Diseases Environment Epidemiology Etiology Event Genbank Goals Health Health Policy Human Incidence Informatics Information Management Information Retrieval Information Retrieval Systems Intelligence Internet Knowledge Lead Link Location MeSH Thesaurus Medical Research Metadata Methods Molecular Mutate Names National Institute of Allergy and Infectious Disease Ontology Organism Policy Making Process Public Health Relative (related person)Reporting Research Research Infrastructure Resources Retrieval Services Societies Source Statistical Methods Stress Structure Syndrome System Taxonomy Techniques Testing Vaccination Vector-transmitted infectious disease Viral Vocabulary base beneficiary biomedical ontology biomedical resource improved indexing open source pathogen prophylactic repository success tool

项目摘要

DESCRIPTION (provided by applicant): The health of Human society is unmistakably intertwined with the health of the Earth and her inhabitants. As modern society becomes increasingly global, unprecedented stresses are placed on interdependent ecologies. Nowhere is this more apparent than with increased incidences of emerging infectious diseases, which include vector-borne diseases, increasingly antibiotic-resistant bacterial infections, and rapidly mutating viral syndromes. To better understand the ecology and etiology of zoonotic (animal to human) emerging infectious diseases, there is a significant need to integrate biomedical and biodiversity knowledge. As demonstrated by the success of Medline and its usage of the MeSH vocabulary, the incorporation of scientific controlled vocabularies in the information retrieval process can facilitate the identification of relevant information. We propose to develop and use informatics techniques to bridge biomedical and biodiversity information into a single resource that will enable the linkage of previously unconnected information that might be useful for the study of infectious diseases. Specifically, we aim to (1) develop a taxonomy ontology and incorporate emerging environment and geo-location ontologies for the annotation of biomedical and biodiversity information into a structured repository; (2) index information from several currently non-linked biomedical and biodiversity knowledge sources using statistical methods that are anchored in organism, environment, and geo-location information; and, (3) evaluate the utility of linking biomedical and biodiversity information relative to emerging animal-to- human infectious diseases. Through regular collaboration events, such as annual workshops, the proposed research will continually evaluate the value of the deliverables and findings with a team of experts and potential beneficiaries from around the world.

描述（由申请人提供）：人类社会的健康与地球及其居民的健康密不可分。随着现代社会日益全球化，相互依存的生态系统受到前所未有的压力。这一点在新出现的传染病发病率增加方面表现得最为明显，这些传染病包括病媒传播的疾病、抗药性日益增强的细菌感染和迅速变异的病毒综合征。为了更好地了解人畜共患（动物传染给人类）新发传染病的生态学和病原学，迫切需要整合生物医学和生物多样性知识。正如Medline的成功及其MeSH词汇的使用所证明的那样，在信息检索过程中纳入科学控制词汇可以促进相关信息的识别。我们建议开发和使用信息技术，将生物医学和生物多样性信息连接到一个单一的资源中，使以前不相关的信息，可能是有用的传染病研究的联系。具体来说，我们的目标是（1）开发一个分类本体，并将新兴的环境和地理位置本体用于生物医学和生物多样性信息的注释，并将其纳入结构化的知识库中;（2）使用锚定在生物体，环境和地理位置信息中的统计方法，从几个目前未链接的生物医学和生物多样性知识源中索引信息;以及（3）评估将生物医学和生物多样性信息与新出现的动物传染给人类的传染病联系起来的效用。通过定期的合作活动，如年度研讨会，拟议的研究将与来自世界各地的专家和潜在受益者团队一起不断评估可交付成果和研究结果的价值。