Interoperable data extraction and information enrichment system to support smart manufacturing: an experimental application on CNC machining lines of a healthcare product
Sofia Tonon Helena; Victória Romaguera Silva Camargo; Thomas Victor Belfort Amaral; Anderson Luis Szejka; Athon Francisco Curi Staben de Moura Leite; Matheus Beltrame Canciglieri
Abstract
Keywords
References
Adamczyk, B. S., Szejka, A. L., & Canciglieri, O. (2020). Knowledge-based expert system to support the semantic interoperability in smart manufacturing.
Ai, Y., Peng, M., & Zhang, K. (2018). Edge computing technologies for Internet of Things: a primer.
Alaya, M. B., & Monteil, T. (2015). FRAMESELF: an ontology-based framework for the self-management of machine-to-machine systems.
Apache Jena. (2021). Retrieved in May 30, 2021, from
Apache NetBeans. (2021). Retrieved in May 30, 2021, from
Arden, N. S., Fisher, A. C., Tyner, K., Yu, L. X., Lee, S. L., & Kopcha, M. (2021). Industry 4.0 for pharmaceutical manufacturing: preparing for the smart factories of the future.
Awad, A., Trenfield, S. J., Pollard, T. D., Ong, J. J., Elbadawi, M., McCoubrey, L. E., Goyanes, A., Gaisford, S., & Basit, A. W. (2021). Connected healthcare: Improving patient care using digital health technologies.
Bahrin, M. A. K., Othman, M. F., Azli, N. H. N., & Talib, M. F. (2016). Industry 4.0: a review on industrial automation and robotic.
Beckers, R., Kwade, Z., & Zanca, F. (2021). The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics.
Büchi, G., Cugno, M., & Castagnoli, R. (2020). Smart factory performance and Industry 4.0.
Buranarach, M., Supnithi, T., Thein, Y. M., Ruangrajitpakorn, T., Rattanasawad, T., Wongpatikaseree, K., Lim, A. O., Tan, Y., & Assawamakin, A. (2016). OAM: an ontology application management framework for simplifying ontology-based semantic web application development.
Canciglierie, A. B., da Rocha, T., Szejka, A. L., dos Santos Coelho, L., & Canciglieri Junior, O. (2021). Real-time machine learning automation applied to failure prediction in automakers supplier manufacturing system. In A. Dolgui, A. Bernard, D. Lemoine, G. von Cieminski, & D. Romero (Eds.),
Cheng, M. (2003).
Chungoora, N., Young, R. I., Gunendran, G., Palmer, C., Usman, Z., Anjum, N. A., Cutting-Decelle, A.-F., Harding, J. A., & Case, K. (2013). A model-driven ontology approach for manufacturing system interoperability and knowledge sharing.
Curi de Moura Leite, A. F., Canciglieri, M. B., Szejka, A. L., & Canciglieri Junior, O. (2017). The reference view for semantic interoperability in Integrated Product Development Process: the conceptual structure for injecting thin walled plastic products.
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance.
Danjou, C., Le Duigou, J., & Eynard, B. (2016). Closed-loop manufacturing, a STEP-NC process for data feedback: a case study.
Dziekaniak, G. V. (2010). Desenvolvimento de uma ontologia sobre componentes de ontologias.
Effendi, Y. A., & Sarno, R. (2017). SWRL rules for identifying short loops in business process ontology model. In
ERGOMAT. (2021). Retrieved in May 30, 2021, from
Farias, T. M., Roxin, A., & Nicolle, C. (2016). SWRL rule-selection methodology for ontology interoperability.
Gözaçan, N., & Lafci, Ç. (2020). Evaluation of key performance indicators of logistics firms.
Hazra, A., Adhikari, M., Amgoth, T., & Srirama, S. N. (2021). A comprehensive survey on interoperability for IIoT: taxonomy, standards, and future directions.
Ke-Qing, H., Wang, J., Liang, P. (2010). Semantic Interoperability Aggregation in Service Requirements Refinement.
Hu, L., Nguyen, N.-T., Tao, W., Leu, M. C., Liu, X. F., Shahriar, M. R., & Al Sunny, S. M. N. (2018). Modeling of cloud-based digital twins for smart manufacturing with MT connect.
Imran, M., & Young, R. I. M. (2016). Reference ontologies for interoperability across multiple assembly systems.
Instituto de Bioengenharia Erasto Gaertner – IBEG. (2021). Retrieved in May 30, 2021, from
Koohang, A., Sargent, C. S., Nord, J. H., & Paliszkiewicz, J. (2022). Internet of Things (IoT): From awareness to continued use.
Lakka, E., Petroulakis, N. E., Hatzivasilis, G., Soultatos, O., Michalodimitrakis, M., Rak, U., Waledzik, K., Anicic, D., & Kulkarni, V. (2019). End-to-end semantic interoperability mechanisms for IoT. In
Lelli, F. (2019). Interoperability of the Time of Industry 4.0 and the Internet of Things.
Liao, Y., Deschamps, F., Loures, E., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal.
Liao, Y., Lezoche, M., Panetto, H., & Boudjlida, N. (2016). Semantic annotations for semantic interoperability in a product lifecycle management context.
Lipman, R. R., Feenay, A. B., Krima, S., & Toussaint, M. (2018, December 3).
Liyanage, H., Krause, P., & de Lusignan, S. (2015). Using ontologies to improve semantic interoperability in health data.
Lu, Y., Liu, C., Wang, K. I.-K., Huang, H., & Xu, X. (2020). Digital Twin-driven smart manufacturing: connotation, reference model, applications and research issues.
Mabkhot, M. M., Amri, S. K., Darmoul, S., Al-Samhan, A. M., & Elkosantini, S. (2020). An ontology-based multi-criteria decision support system to reconfigure manufacturing systems.
Moura, M. A. (2011). Interoperabilidade Semântica e Ontologia Semiótica: A construção e o compartilhamento de conceitos científicos em ambientes colaborativos online.
Noy, N. F., & Rubin, D. L. (2008). Translating the Foundational Model of Anatomy into OWL.
Ottonicar, S. L. C., & Valentim, M. L. P. (2019). A competência em informação no contexto do trabalho: uma revisão sistemática da literatura voltada para industria 4.0.
Palmer, C., Urwin, E. N., Pinazo-Sánchez, J. M., Cid, F. S., Rodríguez, E. P., Pajkovska-Goceva, S., & Young, R. I. M. (2016). Reference ontologies to support the development of global production network systems.
Palmer, C., Usman, Z., Canciglieri Junior, O., Malucelli, A., & Young, R. I. M. (2018). Interoperable manufacturing knowledge systems.
Pereira, R. M., Szejka, A. L., & Canciglieri Junior, O. (2021). Towards an information semantic interoperability in smart manufacturing systems: Contributions, limitations and applications.
Protégé. (2021).
Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Pascal, E., & Harnisch, M. (2015).
Silva, R., Rudek, M., Szejka, A. L., & Canciglieri Junior, O. (2018). Machine vision systems for industrial quality control inspections. In P. Chiabert, A. Bouras, F. Noël, & J. Ríos (Eds.),
Stanojković, S. B., & Cvetković, D. (2018). Evaluation of interested parties by key performance indicators.
Sworna, N. S., Islam, A. K. M. M., Shatabda, S., & Islam, S. (2021). Towards development of IoT-ML driven healthcare systems: a survey.
Szejka, A. L., Canciglieri Junior, O., Panetto, H., Rocha Loures, E., & Aubry, A. (2017). Semantic interoperability for an integrated product development process: a systematic literature review.
Szejka, A. L., & Canciglieri Junior, O. (2017). The application of reference ontologies for semantic interoperability in an integrated product development process in smart factories.
Szejka, A. L., Canciglieri Junior, O., & Mas, F. (2022). Towards Knowledge-based System to support Smart Manufacturing Processes in Aerospace Industry based on Models for Manufacturing (MfM). In
Yang, C., Shen, W., & Wang, X. (2016). Applications of Internet of Things in manufacturing. In
Young, R. I. M., Gunendran, A. G., Cutting-Decelle, A. F., & Gruninger, M. (2007). Manufacturing knowledge sharing in PLM: A progression towards the use of heavy weight ontologies.
Zhuang, C., Gong, J., & Liu, J. (2021). Digital twin-based assembly data management and process traceability for complex products.
Submitted date:
05/30/2021
Accepted date:
03/29/2022
Facebook
Google+
Twitter
LinkedIn
Mendeley
StumbleUpon
CiteULike
Reddit
Email