Developing a Decision Support System leveraging Distributed and Heterogeneous Sources: Case-Based Reasoning for Manufacturing Incident Handling

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Abstract

Case-Based Reasoning is a proven method to provide decision support in a manufacturing context. However, data and knowledge relevant for the case representation is often spread over distributed sources, leading to challenges in the case representation and retrieval. Those challenges require different techniques that this PhD project aims to develop. Techniques for data collection and integration during the case representation, as well as similarity measurement during case retrieval. This paper describes the motivating problem, the research methods, and the current state and future plans.
Original languageEnglish
Title of host publicationDoctoral Consortium Proceedings of the 30th International Conference on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning, ICCBR 2022
EditorsPascal Reuss, Jakob Schönborn
PublisherCEUR-WS.org
Number of pages6
Publication statusPublished - 13 Jun 2023
Event30th International Conference on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning, ICCBR 2022 - Nancy, France
Duration: 12 Sept 202215 Sept 2022

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS.org
Volume3418
ISSN (Electronic)1613-0073

Conference

Conference30th International Conference on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning, ICCBR 2022
Abbreviated titleICCBR 2022
Country/TerritoryFrance
CityNancy
Period12/09/2215/09/22

Keywords

  • Incident Handling
  • Traceability
  • Case-Based Reasoning
  • Semantic Web
  • Knowledge Graph
  • Event Graph

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