Semantic web in manufacturing

Abstract

Advances in manufacturing systems include attempts to create collaborative networks for enterprise integration and information interoperability. To achieve collaboration and sharing effectively, various networking technologies have been proposed in the literature. The web has emerged as a basic entity for interconnecting man and machine and almost all parts of the enterprise community are being reshaped to exploit the opportunities that it offers. Apart from web technology, there are various other tools and techniques that have attracted research communities for representing data in ways that both machines and humans can understand. Semantic web, the second-generation web technology, is enriched by machine-processable information to support the users in their tasks. This paper presents the vision of the semantic web and describes ontologies and associated metadata as the building blocks of the semantic web. It reviews the literature dealing with the application of the semantic web and ontology in the broad domain of manufacturing. First, brief details about key enablers, i.e. web services, semantic web, semantic services, and ontology, are presented. Then the implementation of these approaches in different sectors of manufacturing is discussed. A knowledge base for all the information resources concerned with the manufacturing domain is also built up in this paper. An ontology model for a knowledge base of information resources is designed in Prot eg e software, which can be used for storing and searching information about authors, journals, blogs, newspapers, and many other sources of information.

Preliminary Insides for an Anthropocentric Cyber-physical Reference Architecture of the Smart Factory

“…That is why ontologies are a common ingredient in AO and SOA approaches for factory automation and in most industrial applications their structure reflects the knowledge associated with the ACPS types described in the previous section (e.g. [29]). Unfortunately, there is still no universal ontology, all the ontologies that have been developed until now exhibiting clear particularities that reflect the common knowledge and experience from the implementation context.…”

Role of Semantic Web in the Changing Context of Enterprise Collaboration

“…However, the two worlds have proposed solutions that progress along different dimensions. Academic research has been mostly concerned with expressiveness of service descriptions, while industry has focused on modularization of service layers for usability in the short term (Casey, Pahl 2003, Khilwani, et al 2009. A significant amount of joint venture research is still required by academia and industry to achieve semantic environments in the enterprise community.…”

“…Some important enterprise ontologies developed by the artificial intelligence community and enterprise modelling community are (Madni, et al 2001, Khilwani, et al 2009):…”

“…A detailed survey on each of these ontologies and other relevant enterprise ontologies and modelling frameworks is provided in my review paper, Appendix A (Khilwani, et al 2009). …”

Manufacturability verification through feature-based ontological product models

“…This problem can be relieved through the use of ontological knowledge bases. This is because ontologies have been proven useful to enhance the semantic and syntactic interoperability [5,6] . This paper, for this reason, proposes a methodology for building shape feature based ontological product models.…”