Abstract
Inconsistency data from the knowledge management system comes from unstable data and entities that have been defined. Data not being saved on the proper platform will result in inconsistent data. This research aims to develop an ontology for the selected joining process that provides a standard understanding structure to support user interoperability across heterogeneous data. Based on that, it is important to develop the ontology by identifying and classifying the correct entities. The basic formal ontology has been adopted as the top-level ontology for the development of the ontology for the joining process. The ontology is then expanded with entities related to the joining process. The ontology needs to be evaluated based on consistency, accuracy, and adaptability. A sample of data from research related to the welding process was used to test the capability of the ontology to infer information. As a result, proper ontology development will solve the inconsistency of data in the knowledge management system.
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Zaini, M.A.H.B.M., Ali, M.B.M. (2024). Development of Joining Process Ontology for Ensuring Data Consistency in Knowledge Management Systems. In: Mohd. Isa, W.H., Khairuddin, I.M., Mohd. Razman, M.A., Saruchi, S.'., Teh, SH., Liu, P. (eds) Intelligent Manufacturing and Mechatronics. iM3F 2023. Lecture Notes in Networks and Systems, vol 850. Springer, Singapore. https://doi.org/10.1007/978-981-99-8819-8_45
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DOI: https://doi.org/10.1007/978-981-99-8819-8_45
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