Towards an information semantic interoperability in smart manufacturing systems: contributions, limitations and applications

Interoperable data extraction and information enrichment system to support smart manufacturing: an experimental application on CNC machining lines of a healthcare product

“…The most common way to support semantic interoperability is to research integrated solutions by defining common information models formally well-defined and their relationships (Adamczyk et al, 2020;Palmer et al, 2018;Pereira et al, 2021;. According to , it is possible to describe and share data in a systematic and structured way by using an ontological approach.…”

“…Ontology has been developed to provide machine-processable semantics of information sources that can be communicated between systems or human entities (Alaya & Monteil, 2015;Buranarach et al, 2016;Chungoora et al, 2013;Palmer et al, 2018), and intelligent systems also use it for the interoperation of heterogeneous systems. As a result, ontology has become a significant concept for Intelligent Information Integration, Internet Information Retrieval, Knowledge Management, and the Semantic Web (Imran & Young, 2016;Pereira et al, 2021). The basic elements that compose ontologies are classes, relationships, axioms, individuals, and functions.…”

“…Analysing the extracted data and information makes it possible to predict when the tool will fatigue and break or when the machine needs to be calibrated or adjusted. In addition, several related works (Adamczyk et al, 2020;Pereira et al, 2021;Silva et al, 2018; endorse the application of ontology and semantic rules for information and knowledge enrichment.…”

“…. Furthermore, using the semantic rules is possible to establish the relation across different manufacturing process phases and infer improvement in the production process supporting the company and the worker decisions (Adamczyk et al, 2020;Pereira et al, 2021).…”

“…This point is a typically semantic interoperability problem defined by the capability of autonomous systems' to communicate through standards and to guarantee the correct exchange of information to maintain their meanings throughout the process (Ke-Qing et al, 2010;Moura, 2011). The most common way to support semantic interoperability is to research integrated solutions by defining common information models formally well-defined and their relationships (Pereira et al, 2021;.…”