Can ontologies prevent MBSE models from becoming obsolete?

机译：本体可以防止MBSE模型过时吗？

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Model-based systems engineering provides a soft, manageable, and query-able representation of product design and lifecycle. However, at the same time, it creates a discontinuous space of data that does not integrate, constantly becomes outdated, and has to be upgraded as tools evolve. Models that are not maintained become legacy, and then become obsolete and useless. We look at how ontologies that follow the semantic web technology for data representation can create interoperability among the modeling tools, support model reuse, and fight the aging and obsolescence of models.

机译：基于模型的系统工程提供了产品设计和生命周期的软，可管理和可查询的表示形式。但是，与此同时，它创建了一个不连续的数据空间，这些空间无法集成，经常变得过时，并且必须随着工具的发展进行升级。未维护的模型将成为旧模型，然后变得过时且无用。我们研究遵循语义Web技术进行数据表示的本体如何在建模工具之间创建互操作性，支持模型重用以及如何对抗模型的老化和过时。

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《Annual IEEE International Systems Conference》|2017年|1-8|共8页
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Uri Shani;
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关键词
Tools; Ontologies; Resource description framework; OWL; Semantics; Data models;

机译：工具;本体;资源描述框架; OWL;语义;数据模型;

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4. Can ontologies prevent MBSE models from becoming obsolete? [C] . Uri Shani Annual IEEE International Systems Conference . 2017

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机译：提议的行动不是行动：使用现实的顶级本体对本体设计模式进行建模
7. Ontologies of Time and Time-based Reasoning for MBSE of Cyber-Physical Systems [O] . Petnga Leonard, Austin Mark 2013

机译：网络物理系统MBSE的时间和基于时间的推理的本体

Can ontologies prevent MBSE models from becoming obsolete?

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