Design of System for Intelligent Search in Industrial Standards

Abstract

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.