Madin Joshua S, Bowers Shawn, Schildhauer Mark P, Jones Matthew B
National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, CA 93101, USA.
Trends Ecol Evol. 2008 Mar;23(3):159-68. doi: 10.1016/j.tree.2007.11.007.
Ecology is inherently cross-disciplinary, drawing together many types of information to address questions about the natural world. Finding and integrating relevant data to assist in these analyses is crucial, but is difficult owing to ambiguous terminology and the lack of sufficient information about datasets. Ontologies provide a formal mechanism for defining terms and their relationships, and can improve the location, interpretation and integration of data based on its inherent meaning. Ontologies have assisted other disciplines (e.g. molecular biology) in unifying and enriching descriptions of data, and ecology can benefit from similar approaches. We review ontology efforts in ecology, and describe how these can benefit research by enhancing the location and interpretation of relevant data for confronting crucial ecological questions.
生态学本质上是跨学科的,它汇集了多种类型的信息来解决有关自然世界的问题。寻找并整合相关数据以辅助这些分析至关重要,但由于术语模糊以及缺乏关于数据集的足够信息,这一过程颇具难度。本体提供了一种定义术语及其关系的形式化机制,并且能够基于数据的内在含义改进数据的查找、解释和整合。本体已在其他学科(如分子生物学)中助力统一和丰富数据描述,生态学也能从类似方法中受益。我们回顾了生态学领域的本体研究工作,并描述了它们如何通过加强对相关数据的查找和解释以应对关键生态问题从而使研究受益。