Product lifecycle management (PLM) is an intense knowledge process that collects expertise and knowledge from different participants to create a new product from its conception to its retirement, disposal and recycling. Within all of these stages and activities, knowledge is barely preserved and managed and the drawbacks of not being able to do so involve high costs.
By incorporating semantic web technologies into every phase of the PLM process, any company should be able to develop systems that are capable of consuming the available data of a product (within each phase and within the whole process) without the need of an expert to tailor and refine it for its interpretation and use. The implementation of semantic web technologies (e.g. RDF, RDFs, RDFa, OWL, SPARQL) contributes to the creation of applications for feature identification for design reuse using OWL or RDF, manufacturing process expression using process specification language (PSL), or help with the process of knowledge preservation and management in product development by means of ontologies and the creation of knowledge repositories, among other things.
This special issue aims at gathering the work of current researchers developing solutions using semantic web technologies at each stage of the PLM process (design, manufacturing, simulation, service and support, dispose, etc.) to achieve semantic interoperability along with the management and preservation of the knowledge generated at each stage of the process.
The issue will carry revised and substantially extended versions of selected papers presented at the MICAI 2013 Workshop “OntoPLM”, but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- How can semantic web technologies support the development of new products?
- CAD ontologies? Are they needed? Would they be useful?
- Do we need one enterprise ontology, or a modular enterprise ontology?
- Can OWL be used to represent processes in the manufacturing domain?
- Knowledge management to manage manufacturing “know how”.
- How can product versioning be managed or improved by means of semantic web technologies? Would an ontology help? How?
- How can raw materials be semantically described?
- How can tagging techniques be applied within the PLM domain?
Manuscript submission: 28 February, 2014
Notification of revisions: 1 April, 2014
Submission of final version: 15 April, 2014
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