Vogt Lars
Institut für Evolutionsbiologie und Ökologie, Universität Bonn, An der Immenburg 1, D-53121, Bonn, Germany.
Cladistics. 2018 Aug;34(4):438-458. doi: 10.1111/cla.12209. Epub 2017 Jul 16.
The coding of dependent morphological characters represents a major methodological problem in phylogenetics. Based on a distinction of semantic and ontological logical character dependency, I suggest how inapplicables can be treated properly and introduce rules of mutually dependent character states, which specify how character states of one character determine character states in its ontologically dependent characters. Using various examples, I discuss a set of general rules that applies independently of whether the ontological dependency results from property instantiation, parthood or subsumption. When implemented in a matrix editor, these rules would significantly facilitate the coding procedure, speed up coding of large matrices and increase overall consistency. If implemented in algorithms for tree reconstruction, the rules would prevent inconsistent reconstructions of ancestral states, which is a common problem with inapplicables. In the second part of the paper I set out to explore the potential of using a semantic framework and semantic techniques for automatically detecting instances of ontological dependency and specific cases of semantic dependency and how they can be applied for automatically coding character state values for ontologically dependent characters using the general rules discussed in the first part of the paper. This approach utilizes graph-based semantic representations of instance anatomy, which represent ontology-based descriptions of the anatomical organization of individual organisms.
依赖形态特征的编码是系统发育学中的一个主要方法问题。基于语义和本体逻辑特征依赖的区分,我提出了如何正确处理不适用情况的方法,并引入了相互依赖特征状态的规则,这些规则规定了一个特征的特征状态如何决定其本体依赖特征中的特征状态。通过各种示例,我讨论了一组通用规则,这些规则的应用与本体依赖是源于属性实例化、部分关系还是包含关系无关。当在矩阵编辑器中实现时,这些规则将极大地简化编码过程,加快大型矩阵的编码速度并提高整体一致性。如果在树重建算法中实现,这些规则将防止祖先状态的不一致重建,这是处理不适用情况时常见的问题。在本文的第二部分,我着手探索使用语义框架和语义技术自动检测本体依赖实例和语义依赖特定情况的潜力,以及如何利用本文第一部分讨论的通用规则将它们应用于自动编码本体依赖特征的特征状态值。这种方法利用基于图形的实例解剖语义表示,这些表示代表了基于本体的个体生物体解剖组织描述。