Despite the large-scale uptake of semantic technologies in the biomedical domain, little is known about common modelling practices in published ontologies. OWL ontologies are often published only in the crude form of sets of axioms leaving the underlying design opaque. However, a principled and systematic ontology development life cycle is likely to be reflected in regularities of the ontology's emergent syntactic structure. To develop an understanding of this emergent structure, we propose to reverse-engineer ontologies taking a syntax-directed approach for identifying and analysing regularities for axioms and sets of axioms. We survey BioPortal in terms of syntactic modelling trends and common practices for OWL axioms and class frames. Our findings suggest that biomedical ontologies only share simple syntactic structures in which OWL constructors are not deeply nested or combined in a complex manner. While such simple structures often account for large proportions of axioms in a given ontology, many ontologies also contain non-trivial amounts of more complex syntactic structures that are not common across ontologies.
翻译:尽管生物医学领域大量采用了语义学技术,但在已出版的肿瘤学的常见建模做法方面却鲜为人知。OWL的肿瘤往往仅以粗糙的轴心形式发表,使得基本设计不透明。然而,有原则的、系统的肿瘤发展生命周期很可能反映在肿瘤学的新兴合成结构的常规性中。为了了解这一新兴结构,我们提议反向工程学学采用以综合税指导的方法确定和分析轴心和轴心的规律性。我们从合成建模趋势和OWL轴心和阶级框架的常见做法的角度对生物移植进行考察。我们的研究结果表明,生物生物学学只共用简单的同源结构,其中OWL的构造没有被深植或以复杂的方式组合在一起。这种简单结构往往在给定的本科学中包含大量的轴心,但许多本科也包含非三维的、更复杂的共同合成结构。