Abstract

When reusing existing ontologies for publishing a dataset in RDF (or developing a new ontology), preference may be given to those providing extensive subcategorization for important classes (denoted as focus classes). The subcategories may consist not only of named classes but also of compound class expressions. We define the notion of focused categorization power of a given ontology, with respect to a focus class and a concept expression language, as the (estimated) weighted count of the categories that can be built from the ontology’s signature, conform to the language, and are subsumed by the focus class. For the sake of tractable initial experiments we then formulate a restricted concept expression language based on existential restrictions, and heuristically map it to syntactic patterns over ontology axioms (so-called FCE patterns). The characteristics of the chosen concept expression language and associated FCE patterns are investigated using three different empirical sources derived from ontology collections: first, the concept expression pattern frequency in class definitions; second, the occurrence of FCE patterns in the Tbox of ontologies; and last, for class expressions generated from the Tbox of ontologies (through the FCE patterns); their ‘meaningfulness’ was assessed by different groups of users, yielding a ‘quality ordering’ of the concept expression patterns. The complementary analyses are then compared and summarized. To allow for further experimentation, a web-based prototype was also implemented, which covers the whole process of ontology reuse from keyword-based ontology search through the FCP computation to the selection of ontologies and their enrichment with new concepts built from compound expressions.

中文翻译：

---

本体的聚焦分类力：简单存在概念表达的总体框架与研究

 抽象的

当重用现有本体来发布 RDF 中的数据集（或开发新本体）时，可能会优先考虑为重要类（表示为焦点类）提供广泛子分类的本体。子类别不仅可以由命名类组成，还可以由复合类表达式组成。我们将给定本体的集中分类能力的概念定义为相对于焦点类和概念表达语言，可以从本体的签名构建的类别的（估计）加权计数，符合语言，并且包含在焦点类中。为了易于处理的初始实验，我们基于存在限制制定了一种受限制的概念表达语言，并启发式地将其映射到本体公理上的句法模式（所谓的 FCE 模式）。使用从本体集合导出的三种不同的经验来源来研究所选概念表达语言和相关 FCE 模式的特征：首先，类定义中的概念表达模式频率；其次，本体Tbox中FCE模式的出现；最后，对于从本体的 Tbox 生成的类表达式（通过 FCE 模式）；它们的“意义”由不同的用户组进行评估，从而产生概念表达模式的“质量排序”。然后对补充分析进行比较和总结。为了进行进一步的实验，还实现了一个基于网络的原型，它涵盖了本体重用的整个过程，从基于关键字的本体搜索到FCP计算，再到本体的选择以及通过复合表达式构建的新概念来丰富本体。