Ecosystem integration: the use of ontologies in integrating knowledge across manufacturing value networks

Michela Magas, Dimitris Kiritsis, María Poveda-Villalón, Lan Yang, Sten-Erik Björling, Andreas Rudenå
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Abstract

One of the greatest challenges in creating effective decision-making systems for connected enterprises is the management of cross-domain information. In manufacturing value networks where supply chains are increasingly intertwined, and closed-loop lifecycle management requires traversing several domains, ontologies are proving to be a reliable reference for cross-domain semantic interoperability. However, ontology development, implementation, and management are fragmented and difficult for new users of ontologies to grasp. This is a significant challenge in environments where ontologies are vital for managing effective data exchanges in complex industrial processes. The OntoCommons project has evolved an ontology ecosystem that aims to lower the entry barrier to using ontologies. Building on this ambition, we present a holistic approach to the integration and management of ontologies horizontally across manufacturing ecosystems, including the creation of reference documentation for manufacturing value networks and related standards, available tools for working with ontologies, and examples of vertical integration of knowledge from application level with domain-level and top-level ontology reference documentation. As a novel research direction, we propose a meta-level approach to ontology-driven knowledge management in manufacturing ecosystems. Based on evidence from recent breakthroughs, we present future and emerging research directions.
生态系统整合:使用本体论整合整个制造业价值网络的知识
为互联企业创建有效决策系统的最大挑战之一是跨领域信息的管理。在制造业价值网络中,供应链日益相互交织,闭环生命周期管理需要穿越多个领域,本体论被证明是跨领域语义互操作性的可靠参考。然而,本体的开发、实施和管理是分散的,本体的新用户很难掌握。在本体对于管理复杂工业流程中的有效数据交换至关重要的环境中,这是一项重大挑战。OntoCommons 项目开发了一个本体生态系统,旨在降低使用本体的入门门槛。基于这一雄心壮志,我们提出了在制造业生态系统中横向整合和管理本体的整体方法,包括为制造业价值网络和相关标准创建参考文档、使用本体的可用工具,以及从应用层面与领域级和顶级本体参考文档进行知识纵向整合的实例。作为一个新颖的研究方向,我们提出了一种元层面的方法,用于制造生态系统中本体驱动的知识管理。根据最近取得的突破,我们提出了未来和新兴的研究方向。
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