Enhancing Industrial Digitalisation through an Adaptable Component for Bridging Semantic Interoperability Gaps
Source abstract
Abstract
Digital transformation has a great effect on industries but also in the perception of their products with high consequences on society as a whole, as driver for innovation. However, there are still many barriers to the adoption of digital technologies, especially in small and medium-sized enterprises (SMEs). In the present study we propose a new software component that facilitates the adoption of industrial reference architectures (RAs) based on the semantic interoperability concept. Among these RAs, FIWARE has become a key enabler for flexible and resource effective digitalisation of shop floor processes. The proposed software component aims to enable full interoperability between these more widely used technologies and industrial standards and protocols such as OPC UA. As a result, a flexible, open, and adaptable implementation assists the automatic translation of messages from different standards enabling semantic interoperability of shop floor processes. The component aims to enable industrial SMEs to bring current barriers to digitalisation towards a more human-centred, resilient, and sustainable industry and society.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Big Data and Business Intelligence · Business Process Modeling and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Life Supporting Technologies (LifeSTech), ETSI Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Funding
SHOP4CF project
References (60)
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