ExtruOnt: An ontology for describing a type of manufacturing machine for Industry 4.0 systems (original) (raw)
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In the last years, attention has been devoted to the development of ontologies, which are ICT conceptual models allowing a formal and shared representation of a particular domain of discourse, and to the use of these representations in a variety of contexts, among which also the industrial engineering can be counted. Within the industrial engineering field, the manufacturing domain has not yet seen a wide application of ontologies. This paper firstly shows the use of ontologies for the semantic annotation of a Web Service-based architecture for the control of manufacturing systems; and then contributes to the research field of manufacturing domain ontologies by proposing a thorough literature review and analysis of the available languages supporting such objective. The paper collects the main requirements that semantic languages must meet to be used in the manufacturing domain with the outlined purpose. In fact, the available semantic languages are several and characterized by different features: the paper identifies the most proper ones for the manufacturing domain representation thanks to their analysis against the main requirements. Lastly, the paper shows how the discussed topics are declined in a real industrial example.
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2006
Abstract This paper presents a proposal for a manufacturing upper ontology, aimed to draft a common semantic net in manufacturing domain. Usefulness of ontologies for data formalization and sharing, especially in a manufacturing environment, are first discussed. Details are given about the Web ontology language (OWL) and its adequation for ontologies in the manufacturing systems is shown.
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International Journal of Production Research, 2013
Due to the advancement in the application of Information and Communication Technology (ICT), manufacturing industry and its many domains employ a wide range of different ICT tools. To be competitive, industries need to communicate effectively within and across their many system domains. This communication is hindered by the diversity in the semantics of concepts and information structures of these different domain systems. Whilst international standards provide an effective route to information sharing within narrowly specified domains, they are themselves not interoperable across the wide range of application domains needed to support manufacturing industry due to the inconsistency of concept semantics. Formal ontologies have shown promise in removing interpretation problems by computationally capturing the semantics of concepts, ensuring their consistency and thus providing a verifiable and shared understanding across multiple domains. The research work reported in this paper contributes to the development of formal reference ontology for manufacturing, which is envisaged as a key component in future interoperable manufacturing systems. A set of core manufacturing concepts are identified and their semantics have been captured in formal logic based on exploiting and extending existing standards' definitions, where possible combined with an industrial investigation of the concepts required. A successful experimental investigation has been conducted to verify the application of the ontology based on the interaction between concepts in the design and manufacturing domains of an aerospace component.
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The current fourth industrial revolution, or 'Industry 4.0' (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.
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Within the development of products under PLM applications, ontology holds an important role. Ontology with its instances constitutes a knowledge base. In the development applications of the product, the ontology-based approaches for machine and equipment manufacturing are very few, predominant being the approaches in the field of IT. The experience of a designer in machine manufacturing can be structured in an ontology and its instances, becoming a knowledge base, which can be reused by another designer, who has never designed such a product. On the other hand, the design duration is part of the manufacturing cycle of the product. We propose that through ontology we should be able to specify the sub-assemblies in such a way that the duration of acquisition (contracting-manufacturing-delivery) overlaps the cycle of designing and manufacturing of the product which uses them. We are trying to demonstrate that that the manufacturing cycle can be shortened and that a family of products can be developed based on this, by developing an ontological application, which combines ontologies in the field of engineering, all these by using Protégé.
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In today's world of fast manufacturing, high quality demands and highly competitive markets, it has become vital for companies to be able to extract knowledge from their operating data, to manage and to reuse this knowledge in efficient and automated manner. Ontology has proven to be one of the most successful methods in fulfilling this demand and to this day, it has been applied in number of scenarios within companies of all scales. The most appealing features of the ontology are well-defined structure of the knowledge organization; being machine understandable enables automatic reasoning and inference and finally, well defined semantics enables easy interoperability and design of the plug-in modules. Still, one key downfall of ontology is that it usually has to be manually designed from the beginning for each new use-case. This requires highly specialized knowledge experts working closely with the domain experts for, sometimes, significant period of time. In this paper we propose LinkedDesign solution for described issues, as an example of design of fundamental ontology which can be easily adjusted and adopted for different production systems, thus eliminating the need for repetition of entire design process for every individual company. We also discuss and point to a new and challenging fields of research emerging from application of ontology into manufacturing companies, mainly concerning rapidly growing amounts of knowledge which are beginning to exceed human ability to process it.
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Ontology engineering is known to be a complex, time-consuming, and costly process, in particular, if an ontology has to be developed from scratch, and respective domain knowledge has to be formally encoded. This paper presents the largest publicly available manufacturing ontology CDM-Core in the standard formal ontology language OWL2. The CDM-Core ontology has been developed within the European research project CREMA in close collaboration with the user partners in order to sufficiently cover the CREMA use case domains of metal press maintenance and automative exhaust production. CDM-Core makes use of many relevant standard vocabularies and ontologies, with only about one fifth of its size being CREMA use case specific. The practical applicability of CDM-Core for semantic annotation of domain-related process models, sensor data and services has been approved by the user partners, and its quality according to selected common criteria of verification and validation was successfully evaluated.