A semantic ontology of requirement-product-process-resource for modeling of product lifecycle information
19th International Conference on Industrial Engineering and Engineering Management, Page: 319-330
2013
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
A semantic ontology of requirement-product-process-resource (RPPR) is developed to model the whole product lifecycle information in this study. The ontology is consisting of four parts, i.e., requirement model, product model, process model and resource model, which represents requirement information, product information, process information and resource information of the product life cycle, respectively. The ontology model can offer well-defined semantics for information sharing and reuse between different organizations and software systems. A case study is also presented in the paper to demonstrate the application of the ontology model. © 2013 Springer-Verlag Berlin Heidelberg.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84891305767&origin=inward; http://dx.doi.org/10.1007/978-3-642-37270-4_31; https://link.springer.com/10.1007/978-3-642-37270-4_31; https://dx.doi.org/10.1007/978-3-642-37270-4_31; https://link.springer.com/chapter/10.1007/978-3-642-37270-4_31
Springer Science and Business Media LLC
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