工业标准中智能检索系统的设计

E. Gosteva, V. Lanin, Veronika Falaleeva
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摘要

标准和规范在工业中广泛用于定义产品和业务流程需求,确保互操作性、安全性和质量,因此如何最好地将它们应用到自己的生产过程中是一个尖锐的问题。目前的一个问题是,由于现有的标准库结构薄弱,无法有效地使用它。为了解决这个问题,NIST提出了NOVIS系统,它提供了一个交互式的可视化界面,其中包含与可持续生产相关的标准术语。然而,这种解决方案有一些限制,这些限制将在本文后面描述,因此有必要在行业标准中开发我们自己的语义搜索系统。本工作的目的是基于本体描述和语义标注的行业标准智能搜索系统设计。有必要考虑现有的解决方案,确定系统的需求,开发其运行的算法,比较本体管理和可视化的工具来实现这一目标。其实际意义在于定义概念框架并构建系统的图形化表示,从而进一步开发一个智能搜索系统,使企业能够有效地管理、正确理解和遵守行业标准。
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Design of System for Intelligent Search in Industrial Standards
Standards and specifications are widely used in industry to define product and business process requirements, ensure interoperability, safety, and quality, so there is an acute question of how best to apply them in the process of their own production. One of the problems at the moment is the inability to effectively use the existing standards base due to its weak structure. As a solution to this problem, NIST presented the NOVIS system, which provides an interactive visual interface with terminology from standards related to sustainable production. However, this solution has a number of limitations, which are described later in the text, therefore it is necessary to develop our own system of semantic search in industry standards. The aim of this work is system design for intelligent search in industry standards based on ontological description and semantic annotation. It is necessary to consider the existing solution, to determine the requirements for the system, to develop an algorithm for its operation, to compare the tools for management and visualization of ontology to achieve this goal. The practical significance is to define the conceptual framework and build a graphical representation of the system for the further development of an intelligent search system that will allow companies effectively manage, properly understand and comply with industry standards.
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