An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain

Research article (Computers in Industry, 2020) · cited 24× · AI/ML
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An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain

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An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain is a scholarly article[1].

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  • An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-integrated-framework-for-automatic-ontology-learning-from-unstructured-repair-text-data-for-effective-fault-detection
MLA “An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-integrated-framework-for-automatic-ontology-learning-from-unstructured-repair-text-data-for-effective-fault-detection.
BibTeX @misc{4ortxyz_an-integrated-framework-for-automatic-ontology-learning-from-unstructured-repair-text-data-for-effective-fault-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain}}, year = {2026}, url = {https://4ort.xyz/entity/an-integrated-framework-for-automatic-ontology-learning-from-unstructured-repair-text-data-for-effective-fault-detection}, note = {Accessed: 2026-05-24}}
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