Semantic annotations for semantic interoperability in a product lifecycle management context

Liao, Yongxin; Lezoche, Mario; Panetto, Hervé; Boudjlida, Nacer

doi:10.1080/00207543.2016.1165875

Cited by 23 publications

(8 citation statements)

References 35 publications

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“…Such annotations might be developed with respect to multiple aspects like the domain or the structure of a data model. These annotations help for the reconciliation modelling language constructs, support model transformations or the verification of modelling constraints (Liao et al, 2016).…”

Section: Semantic Interoperabilitymentioning

confidence: 99%

Interoperability in the cyber-physical manufacturing enterprise

Weichhart

Panetto

Molina

2021

Annual Reviews in Control

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New technologies supporting cyber-physical enterprise systems with respect to online decision-making based on up-to-date data, require networked sensor and actor systems in place. Interoperability is a key factor when supporting systems in a system-ofsystems. In this paper, we survey approaches on Enterprise Interoperability with special attention to the Cyber-Physical Manufacturing Enterprise. The paper identifies the need for interoperability in system-of-systems in contrast to integration in a single system. Also identified are issues due to insufficient support for physical aspects of systems. An application scenario from the manufacturing domain will serve to underpin the developed approach.

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Section: Semantic Interoperabilitymentioning

confidence: 99%

Interoperability in the cyber-physical manufacturing enterprise

Weichhart

Panetto

Molina

2021

Annual Reviews in Control

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“…Generally, the ontology design is started with designing the hierarchy of relevant concepts. The is-a relation, a taxonomical relation, between concepts, is perceived as the base of any ontology (Liao et al, 2016). This view is mainly given by the procedure of designing object oriented based systems.…”

Section: Knowledge Formal Structure (Ontology) From Fcamentioning

confidence: 99%

Knowledge mobilisation crossing boundaries: a multi-perspective framework for agri-food value chains

Liu¹,

Zhao²,

Chen³

et al. 2021

Acta Hortic.

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Knowledge has long been recognised as a valuable asset to individuals, organisations and economy, subsequently knowledge management (KM) has been a well-established area of research. Existing research has developed various classification schemes for knowledge, and a great number of KM process and lifecycle models have been proposed over the last few decades. In particular, knowledge transfer and sharing has received great attention. However, majority of existing work has focused on knowledge sharing within the same organisation or community where people have a shared sense of identity, values and some common practice, hence knowledge process and learning is within relatively homogeneous groups. There is inadequate research to address the issue of knowledge boundaries and approaches to knowledge mobilisation spanning across knowledge boundaries. The knowledge boundaries can erect significant barriers to knowledge sharing and flowing especially in value chain context where there are a great number of players from different domains, with varied level of knowledge, having different and possibly conflicting interests -participating in knowledge sharing activities. This paper will explore how such knowledge boundaries can be identified and how knowledge gaps among different value chain players can be closed by using appropriate boundary-crossing mechanisms. A multi-perspective knowledge mobilisation framework is proposed. Example applications of the knowledge mobilisation framework in agri-food value chain will be illustrated, based on the most recent developments from an EU collaborative project, RUC-APS (standing for Risk and Uncertain Conditions in Agriculture Production Systems), which is funded by European Commission's Horizon 2020 RISE programme.

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“…However, automatic ontology matching is not very reliable and manual ontology matching requires significant time and efforts. There are efforts aimed at enriching ontologies with additional information (e.g., extension of DAML+OIL for description of configuration problems [13], introducing semantic annotations [14], etc. ), however, they still cannot solve the problem of integrating heterogeneous information and knowledge described in different terminology.…”

Section: Related Workmentioning

confidence: 99%

Multi-aspect Ontology for Semantic Interoperability in PLM: Analysis of Possible Notations

Smirnov

Shilov

2018

Product Lifecycle Management to Support Industry 4.0

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Product lifecycle management covers a number of stages that deal with different tasks and apply different methods but require intensive information exchange to be efficient. Information support of these stages has to address this problem. However, successful implementation of information support systems requires solving the problem of interoperability of heterogeneous information related to different PLM stages. The paper investigates the problem of developing a single ontology for PLM support taking into account differences between terminologies (multi-aspect ontology) used at various stages of the PLM cycle. Different options of designing ontologies covering multiple domains have been considered. Three of them: (i) ontology localization / multilingual ontologies, (ii) granular ontologies, and (iii) ontologies with temporal logics are considered in details and analysed. The analysis is based on the case study of PLM support at the automation equipment producer Festo AG & Co KG.

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Semantic annotations for semantic interoperability in a product lifecycle management context

Cited by 23 publications

References 35 publications

Interoperability in the cyber-physical manufacturing enterprise

Interoperability in the cyber-physical manufacturing enterprise

Knowledge mobilisation crossing boundaries: a multi-perspective framework for agri-food value chains

Multi-aspect Ontology for Semantic Interoperability in PLM: Analysis of Possible Notations

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