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A category theoretic approach in changing networks of semantics

机译:改变语义网络的范畴理论方法

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Mathematical models such as sets of equations are used in engineering to analyze the behaviour of physical systems. The conventional notations in formulating engineering models do not always provide the details required in fully comprehending those equations and, therefore, artefacts like ontologies, which are the building blocks of knowledge representation models, are used to fulfil this gap. Since ontologies are the outcome of an inter-subjective agreement among a group of individuals about the same fragment of the objective world, their development and use are questions in debate with regard to their competencies and limitations to univocally conceptualize a domain of interest. A network of semantics is defined as a directed graph, consisting of vertices representing heterogeneous ontologies and edges representing alignments among them. Both its components are carriers of meaning and they undergo changes in order to be adapted to different contexts of applications. This paper aims at, firstly, defining changes occurring in networks of aligned ontologies, a difficult task, since one has to take into account that making changes based on isolated components, while ignoring the semantic interrelations among them, may result in non logical continuity, or inconsistency of the underlying semantic model and, secondly, proposing a category theoretic framework in order to overcome the obstacles emerging from the changes occurring in networks of semantics, by introducing an enriched category that can capture the overall structure of a network of aligned ontologies.
机译:诸如方程组之类的数学模型在工程中用于分析物理系统的行为。在制定工程模型时,传统的符号并不总是提供完全理解这些方程式所需的细节,因此,像本体之类的人工制品是知识表示模型的组成部分,被用来填补这一空白。由于本体论是一组个体之间就客观世界的同一主体达成主体间协议的结果,因此本体论的发展和使用是关于其能力和局限性的争论,这些能力和局限性是对概念领域的唯一概念化。语义网络被定义为有向图,它由代表异构本体的顶点和代表它们之间的对齐的边组成。它的两个组成部分都是意义的载体,并且它们进行更改以适应不同的应用程序上下文。本文的目的是,首先,定义在对齐的本体网络中发生的变化,这是一项艰巨的任务,因为必须考虑到基于孤立的组件进行更改,而忽略它们之间的语义关联,可能会导致逻辑上不连续,或潜在语义模型的不一致,其次,提出类别理论框架,以通过引入丰富的类别来克服语义网络中发生的变化而出现的障碍,该类别可以捕获对齐的本体网络的整体结构。

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