Semantic technologies: latest advances in agent-based manufacturing control systems

Vrba, Pavel; Radakovič, Miloslav; Obitko, Marek; Mařı́k, Vladimı́r

doi:10.1080/00207543.2010.518746

Cited by 38 publications

(11 citation statements)

References 10 publications

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“…Ontology-based technologies have also been proposed recently in relevant areas such as manufacturing control (Vrba et al 2011), design and manufacturing knowledge models (Chungoora and Young 2011;Lin et al 2011) and production-centric standards (Chungoora et al 2013).…”

Section: Kiritsismentioning

confidence: 99%

Semantic technologies for engineering asset life cycle management

Kiritsis

2013

International Journal of Production Research

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The use of semantic technologies and ontologies is becoming more and more popular in engineering applications and particularly in product modelling. Still, the use is limited in academia and applications are of a small scale. In this paper we present the research work done by the closed-loop life cycle management (CL2M) team of the Laboratory for Computer-Aided Design and Production (LICP) at the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland, on the use of ontology-based technologies for the life cycle management of products and engineering assets. This research has been performed through a number of PhD works partially financed by the European Framework Program for research. It aims at providing both a wider understanding of the benefits of applying such technologies in the complex environment of asset life cycle management (ALM) and at providing a platform for implementing ontology models in industrial environments.

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Section: Kiritsismentioning

confidence: 99%

Semantic technologies for engineering asset life cycle management

Kiritsis

2013

International Journal of Production Research

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“…Coupled with advances in internet technologies, ontology engineers have developed sets of standards which take advantage of the characteristics of the web (Lin et al 2011;Vrba et al 2011). In this section, a review of 14 relevant languages capable of meeting the requirements of rapid digital virtual factory design and prototyping is presented.…”

Section: Languages For Ontology Representationmentioning

confidence: 99%

Review of semantic modelling technologies in support of virtual factory design

Agyapong-Kodua

Lohse

Darlington

et al. 2013

International Journal of Production Research

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Comprehensive data models and standardised terminologies are required across tools and their developers to rapidly design and prototype digitised virtual factories. Also, various types of software are required to be integrated for cost-effective modelling exercises. To meet this requirement, semantic modelling technologies involving ontologies have featured prominently in many manufacturing applications. This paper considers, extensively, the current semantic requirements for digitised virtual factory design and prototyping and compares them with the capabilities of existing semantic technologies. As a result, a review of methodologies, tools and languages for creating ontologies has been reported. The review concludes with the next generation requirements for methodologies, tools and languages for creating ontologies suitable for the virtual factory design process, and further explains ongoing work associated with the creation of ontologies and reasoning mechanisms through the integrated use of ObjectLogic, OntoStudio and OntoBroker.

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“…However, higher capability to handle these problems has become available thanks to the development of information technology tools and especially with Object Orientation (OO) concepts and related technologies (see [9][10][11][12][13]). To this concern, starting from the '90s, ontologies have been proposed for describing manufacturing systems (see [14][15][16][17][18]. Moreover ontologies, when properly implemented in appropriate languages, allow also including such knowledge into software and automatic systems.…”

Section: The Role Of Ontologiesmentioning

confidence: 99%

Role of Ontologies for CPS Implementation in Manufacturing

Garetti¹,

Fumagalli²,

Negri³

2015

Management and Production Engineering Review

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Accepted: 9 January 2015Cyber Physical Systems are an evolution of embedded systems featuring a tight combination of collaborating computational elements that control physical entities. CPSs promise a great potential of innovation in many areas including manufacturing and production. This is because we obtain a very powerful, flexible, modular infrastructure allowing easy (re) configurability and fast ramp-up of manufacturing applications by building a manufacturing system with modular mechatronic components (for machining, transportation and storage) and embedded intelligence, by integrating them into a system, through a network connection. However, when building such kind of architectures, the way to supply the needed domain knowledge to real manufacturing applications arises as a problem to solve. In fact, a CPS based architecture for manufacturing is made of smart but independent manufacturing components without any knowledge of the role they have to play together in the real world of manufacturing applications. Ontologies can supply such kind of knowledge, playing a very important role in CPS for manufacturing. The paper deals with this intriguing theme, also presenting an implementation of this approach in a research project for the open automation of manufacturing systems, in which the power of CPS is complemented by the support of an ontology of the manufacturing domain.

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Semantic technologies: latest advances in agent-based manufacturing control systems

Cited by 38 publications

References 10 publications

Semantic technologies for engineering asset life cycle management

Semantic technologies for engineering asset life cycle management

Review of semantic modelling technologies in support of virtual factory design

Role of Ontologies for CPS Implementation in Manufacturing

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