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Consuming SEDRIS Transmittals - A Pragmatic Approach

机译：消耗SEDRIS发动机 - 一种务实的方法

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SEDRIS core development to date has focused primarily on a data representation model for SNE capable of representing a wide range of input data and domains, development of a strong read/write API, and establishment of a SEDRIS community (the SEDRIS associates) to coordinate development. With these areas successfully addressed through SEDRIS 3.0, core development can address new challenges, including better support for data consumers. Consumers have the challenge of mapping data from SEDRIS' wide-ranging and comprehensive data model into their system specific representations. While consumers of visual data have generally fared well with writing generic consumption algorithms, consumers who require a "semantic" understanding of data have struggled with making the SEDRIS-to-native system mapping. Solutions used to date have focused on either detailed requirements specifications or developing data driven applications that require tailoring on a per-transmittal basis. This paper will discuss current consumption approaches, including practical examples from multiple programs, and follow with a discussion of planned technologies to make consumption of SEDRIS transmittals easier.
机译：迄今为止的SEDRIS核心开发主要集中在能够代表广泛的输入数据和域的SNE数据表示模型，强大的读/写API的开发，以及建立SEDRIS社区（SEDRIS COMBARIATES）来协调发展。通过通过SEDRIS 3.0成功解决的这些区域，核心开发可以解决新的挑战，包括更好地支持数据消费者。消费者对从SEDRIS广泛和综合数据模型映射数据的挑战，进入其系统特定的表示。虽然视觉数据的消费者通常与写作通用消费算法相比，但是需要“语义”了解数据的消费者已经努力制作SEDRIS-to-Native系统映射。迄今为止迄今为止的解决方案专注于详细的要求规范或开发需要根据每次传递方式剪裁的数据驱动应用程序。本文将讨论当前的消费方法，包括来自多个程序的实际示例，并遵循计划技术，以使SEDRIS减速器的消耗更容易。

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