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生物医学本体论:迈向科学辩论

Biomedical ontologies: toward scientific debate.

作者信息

Maojo V, Crespo J, García-Remesal M, de la Iglesia D, Perez-Rey D, Kulikowski C

机构信息

Biomedical Informatics Group, Departamento de Inteligencia Artificial, Faculdad de Informática, Universidad Politécnica de Madrid, Boadilla del Monte, 28660 Madrid, Spain.

出版信息

Methods Inf Med. 2011;50(3):203-16. doi: 10.3414/ME10-05-0004. Epub 2011 Mar 21.

Abstract

OBJECTIVES

Biomedical ontologies have been very successful in structuring knowledge for many different applications, receiving widespread praise for their utility and potential. Yet, the role of computational ontologies in scientific research, as opposed to knowledge management applications, has not been extensively discussed. We aim to stimulate further discussion on the advantages and challenges presented by biomedical ontologies from a scientific perspective.

METHODS

We review various aspects of biomedical ontologies going beyond their practical successes, and focus on some key scientific questions in two ways. First, we analyze and discuss current approaches to improve biomedical ontologies that are based largely on classical, Aristotelian ontological models of reality. Second, we raise various open questions about biomedical ontologies that require further research, analyzing in more detail those related to visual reasoning and spatial ontologies.

RESULTS

We outline significant scientific issues that biomedical ontologies should consider, beyond current efforts of building practical consensus between them. For spatial ontologies, we suggest an approach for building "morphospatial" taxonomies, as an example that could stimulate research on fundamental open issues for biomedical ontologies.

CONCLUSIONS

Analysis of a large number of problems with biomedical ontologies suggests that the field is very much open to alternative interpretations of current work, and in need of scientific debate and discussion that can lead to new ideas and research directions.

摘要

目标

生物医学本体在为许多不同应用构建知识方面非常成功,因其效用和潜力而广受赞誉。然而,与知识管理应用不同,计算本体在科学研究中的作用尚未得到广泛讨论。我们旨在从科学角度激发对生物医学本体所带来的优势和挑战的进一步讨论。

方法

我们回顾生物医学本体的各个方面,超越其实际成功之处,并通过两种方式关注一些关键科学问题。首先,我们分析和讨论当前主要基于经典亚里士多德现实本体模型来改进生物医学本体的方法。其次,我们提出关于生物医学本体的各种开放性问题,这些问题需要进一步研究,并更详细地分析那些与视觉推理和空间本体相关的问题。

结果

我们概述了生物医学本体应考虑的重大科学问题,这超出了目前在它们之间建立实际共识的努力。对于空间本体,我们提出一种构建“形态空间”分类法的方法,作为一个可以激发对生物医学本体基本开放性问题研究的例子。

结论

对生物医学本体大量问题的分析表明,该领域对当前工作的替代解释非常开放,并且需要能够产生新思想和研究方向的科学辩论和讨论。

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