Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry

Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry

Causal domain knowledge is commonly documented using natural language either in unstructured or semi-structured forms. This study aims to increase the usability of causal domain knowledge in industrial documents by transforming the information into a more structured format. The paper presents our wo...

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Bibliographic Details
Main Authors: Houssam Razouk, Leonie Benischke, Daniel Gärber, Roman Kern
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
causal information extraction
causal relation extraction
natural language processing
presentation slides
FMEA
semiconductor manufacturing
Online Access:https://www.mdpi.com/2076-3417/15/5/2573
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