Luiza Bartels Oliveira
ABSTRACT
Inadequate data organization within a company can result in decreased efficiency, increased costs, and longer delivery times. In the context of an electronic maintenance laboratory servicing a mining company internally, the lack of data organization hampers the conversion of information into actionable knowledge, affecting delivery efficiency. This study aims to address these issues by transforming existing data into structured knowledge using the Methontology and OntoForInfoScience methodologies. The ontology model was validated by both experts and a software plug-in and seeks to offers a systematic representation of the domain, facilitating data understanding and utilization, ultimately leading to cost and time savings in deliveries and ongoing process improvements.
- 2018. Qual a importância da mineração para a economia do país?Technical Report. Instituto Minere, Brasil. https://institutominere.com.br/blog/qual-a-importancia-da-mineracao-para-a-economiaGoogle Scholar
- Mauricio B. Almeida. 2021. Ontologia Em Ciência da Informaç ao: Tecnologia e Aplicaç oes. Editora CRV, Curitiba - Brasil.Google Scholar
- Mariano Fernandez-Lopez, Asuncion Gomez-Perez, and Natalia Juristo. 1997. METHONTOLOGY: from Ontological Art towards Ontological Engineering. In Proceedings of the AAAI97 Spring Symposium. Stanford, USA, 33–40.Google Scholar
- Thomas R Gruber. 1993. A translation approach to portable ontology specifications. Knowledge acquisition 5, 2 (1993), 199–220.Google Scholar
- Howard L. Hartman and Jan M Mutmansky. 2002. Introductory Mining Engineering. Wiley. https://books.google.com.br/books?id=jPdF6K0at4YCGoogle Scholar
- ISO/IEC 21838 2021. Information technology - Top-level ontologies (TLO). Standard. International Organization for Standardization, Geneva, CH.Google Scholar
- Fernando M. Mendonça. 2015. Ontoforinfoscience: metodologia para construção de ontologias pelos cientistas da informação - Uma aplicação prática no desenvolvimento da ontologia sobre componentes do sangue humano (HEMONTO). Ph. D. Dissertation. Escola de Ciência da Informação, Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.Google Scholar
- Chris Partridge, Andrew Mitchell, Al Cook, Jan Sullivan, and Matthew West. 2020. A Survey of Top-Level Ontologies - to inform the ontological choices for a Foundation Data Model. https://doi.org/10.17863/CAM.58311Google ScholarCross Ref
Index Terms
- A case study on the development of an ontology for maintenance services of heavy machinery electronic components
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