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A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process

机译:关于集成产品开发过程中语义互操作性的当前问题的探讨

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Through past decade, the complexity of integrated product development process has been significantly increased, due to highly elaborated customer's needs, market requirements and their multi-disciplinary nature. In this context, the meaning and formal structure of such information must be well managed since initial stages of product development, in order to avoid semantic heterogeneity and subsequent mistakes in interpretation. The aim of this paper is to understand the current issues related to this scenario, through the study of later works and research regarding Semantic Interoperability through ontologies in multiple domains, applicable in the field of Product Development and Manufacturing. Search material points out that a significant issue regards the input of information, since most of current models merely translate information from different sources, instead of understanding its nature and stablish a common standard to extract and structure it. Research has suggested that Knowledge Extraction models may be a viable path to filter and refine the quality of the input information, as means to improve the accuracy and effectiveness of new knowledge. This research structured its findings in a model that explores the issues of semantic interoperability through reference ontologies, to bring light to new research themes, validated through further research.
机译:由于过去十年来,由于客户的需求,市场要求及其多学科性质,综合产品开发过程的复杂性得到显着增加。在这种情况下,自产品开发初始阶段以来,必须良好管理此类信息的含义和正式结构,以避免语义异质性和随后的解释错误。本文的目的是了解与此方案相关的当前问题,通过对多个领域的本体在本体中的本体,适用于产品开发和制造领域的语义互操作性的研究。搜索材料指出,重要的问题是关于信息的输入,因为当前大多数模型仅仅从不同来源转换信息,而不是了解其性质并稳定一个共同的标准来提取和结构。研究表明,知识提取模型可能是过滤和完善输入信息质量的可行路径,作为提高新知识的准确性和有效性的手段。这项研究在一个模型中结构化了它的调查结果,该模型通过参考本体探讨了语义互操作性的问题,将光线带到新的研究主题,通过进一步研究验证。

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