朝向工程功能、行为和能力的正式本体

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2023-03-09 DOI:10.3233/sw-223188
Francesco Compagno, S. Borgo
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引用次数: 0

摘要

在应用本体论和工程学中,功能都是一个很好的研究主题,因为领域专家通过目的论因果推理建立工程系统的心智模型,从而产生功能。这些心理模型在任何产品的整个生命周期中都很重要,从设计阶段一直使用到诊断活动。虽然已经进行了大量的功能建模工作,但由于涉及的概念和功能描述应该满足的建模任务的多样性,文献并没有确定一个共享的和定义良好的方法。本文的工作为功能和相关概念(如行为、能力和容量)的丰富本体论描述奠定了基础,并采取了一些关键步骤。使用顶级本体DOLCE作为框架对这些概念进行概念性分析,随后的逻辑理论以一阶逻辑和OWL进行正式描述,展示了本体概念如何在应用程序中对工程产品的主要方面进行建模。特别是,它展示了如何将功能与实现它们的实现方法区分开来,如何区分产品的功能和容量,以及这些功能如何与工程功能相关。
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Towards a formal ontology of engineering functions, behaviours, and capabilities
In both applied ontology and engineering, functionality is a well-researched topic, since it is through teleological causal reasoning that domain experts build mental models of engineering systems, giving birth to functions. These mental models are important throughout the whole lifecycle of any product, being used from the design phase up to diagnosis activities. Though a vast amount of work to model functions has already been carried out, the literature has not settled on a shared and well-defined approach due to the variety of concepts involved and the modeling tasks that functional descriptions should satisfy. The work in this paper posits the basis and makes some crucial steps towards a rich ontological description of functions and related concepts, such as behaviour, capability, and capacity. A conceptual analysis of such notions is carried out using the top-level ontology DOLCE as a framework, and the ensuing logical theory is formally described in first-order logic and OWL, showing how ontological concepts can model major aspects of engineering products in applications. In particular, it is shown how functions can be distinguished from the implementation methods to realize them, how one can differentiate between capabilities and capacities of a product, and how these are related to engineering functions.
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来源期刊
Semantic Web
Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
8.30
自引率
6.70%
发文量
68
期刊介绍: The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.
期刊最新文献
Wikidata subsetting: Approaches, tools, and evaluation An ontology of 3D environment where a simulated manipulation task takes place (ENVON) Sem@ K: Is my knowledge graph embedding model semantic-aware? Using semantic story maps to describe a territory beyond its map NeuSyRE: Neuro-symbolic visual understanding and reasoning framework based on scene graph enrichment
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