The application of common logic based formal ontologies to assembly knowledge sharing

Imran, Muhammad; Young, Bob

doi:10.1007/s10845-013-0768-4

Cited by 48 publications

(34 citation statements)

References 32 publications

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“…-Knowledge sharing is another motivation arisen in literature to use ontologies in the manufacturing domain. As an example, [39] and [40] used an ontology as a basis for common understanding between manufacturing or assembly engineers and design engineers. This ontology comprised both aspects related to manufacturing (resources, processes, parts and production plan) and related to design (geometrical measures).…”

Section: State Of the Art On Conceptual Modelling In Manufacturingmentioning

confidence: 99%

Requirements and languages for the semantic representation of manufacturing systems

Negri

Fumagalli

Garetti

et al. 2016

Computers in Industry

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Section: State Of the Art On Conceptual Modelling In Manufacturingmentioning

confidence: 99%

Requirements and languages for the semantic representation of manufacturing systems

Negri

Fumagalli

Garetti

et al. 2016

Computers in Industry

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“…To develop the domain ontology we followed the main steps of the ontology development process, namely definition of domain, identification of concepts, establishment of conceptual model and development of ontology [4]. Figure 3 shows the developed ontology using the Protégé ontology editor [5].…”

Section: Ontological Model Development and Integration Of Different Smentioning

confidence: 99%

“…3 : scrappedBy(X,Y)⇒¬borrowable(X) 4 : borrowedBy(X,Y)⇒¬borrowable(X) When the instrument is being repaired, scrapped or borrowed out now, it cannot be borrowed.…”

Section: : Repairedby(xy)⇒¬borrowable(x)mentioning

confidence: 99%

An Instrument Management Information System (MIS) Based on RFID

Li¹,

Yi²,

Long³

et al. 2017

dtcse

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Abstract. At present, there are some problems in the management of instruments, such as low efficiency of the management, lacking of the real-time information about instruments status, etc.. To solve these problems, an Instrument Management Information System (MIS) based on RFID (Radio Frequency Identification) and ontology is proposed in this paper. Through validation, the efficiency will be improved, the real-time information will be available and suggestions will be given when making decisions.

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“…In order to show the ontology model, we exploited the UML formalism (Fowler and Scott, 2000). Particularly, we used the UML class diagrams, as they are frequently used to visualise part of the web ontology language (OWL) class structure (Giménez et al, 2008;Matsokis and Kiritsis, 2010;Antonelli et al, 2013;Chungoora et al, 2013;Imran and Young, 2015). This section describes the general PLM ontology, while Section 5.1 shows the procedure to derive the specific concepts for an industrial use case.…”

Section: Plm Ontologymentioning

confidence: 99%

Efficient management of product lifecycle information through a semantic platform

Bruno

Korf

Lentes

et al. 2016

IJPLM

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Products generate a large amount of information during their lifecycle. Small and medium enterprises often lack an efficient management of such an amount of information. Several tools of product lifecycle management have been developed in the last years to address this issue, but they are rarely exploited by companies, especially SMEs. The aim of our work is to present a semantic platform to integrate data along the whole product lifecycle to allow semantic search and knowledge reuse. The integration of data is realised with a reference PLM ontology, containing the main concepts and relations to describe a PLM. This ontology has a modular structure, so that it can be easily extended to describe concrete product lifecycles. An example of a real application of the semantic platform in an industrial case is reported.

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The application of common logic based formal ontologies to assembly knowledge sharing

Cited by 48 publications

References 32 publications

Requirements and languages for the semantic representation of manufacturing systems

Requirements and languages for the semantic representation of manufacturing systems

An Instrument Management Information System (MIS) Based on RFID

Efficient management of product lifecycle information through a semantic platform

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