Scholarlink

This chapter presents the development of a knowledge graph modeled using Semantic Web technologies, leveraging established domain ontologies to represent commonly available expert knowledge in relation to the previously built factory simulation model from Chapter 3 and its simulated failure modes. The resulting knowledge graph contains more than 5,500 axioms and is based on established domain ontologies such as SSN, SOSA, and MASON, which were aligned and refined according to the factory model and the requirements derived from the use cases. The use of standardized approaches (e.g., domain ontologies, Failure Modes and Effects Analysis (FMEA)) and consideration of legal requirements ensure that the provided knowledge is representative and largely available, albeit in different forms (e.g., written documents)

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Semantic Description of a Factory Simulation Environment

  • 章节

  • 发表日期：

    2025年

查看全文
  • Patrick Klein

摘要

This chapter presents the development of a knowledge graph modeled using Semantic Web technologies, leveraging established domain ontologies to represent commonly available expert knowledge in relation to the previously built factory simulation model from Chapter 3 and its simulated failure modes. The resulting knowledge graph contains more than 5,500 axioms and is based on established domain ontologies such as SSN, SOSA, and MASON, which were aligned and refined according to the factory model and the requirements derived from the use cases. The use of standardized approaches (e.g., domain ontologies, Failure Modes and Effects Analysis (FMEA)) and consideration of legal requirements ensure that the provided knowledge is representative and largely available, albeit in different forms (e.g., written documents)