Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high‐level smart applications. Semantic metadata can provide contextual …
Many vocabularies and ontologies are produced to represent and annotate agronomic data. However, those ontologies are spread out, in different formats, of different size, with different …
M Wei, SH Hong, M Alam - Applied energy, 2016 - Elsevier
Interconnectivity and interoperability are very important features in the development of integrated energy management systems for industrial facilities. A simple and common …
C Jonquet, J Graybeal, S Bouazzouni, M Dorf… - International Semantic …, 2023 - Springer
There is an explosion in the number of ontologies and semantic artefacts being produced in science. This paper discusses the need for common platforms to receive, host, serve, align …
The adoption of the Internet of Things (IoT) in healthcare has received considerable interest in the past decade. Indeed, IoT-based solutions are poised to transform how we keep …
C Angsuchotmetee, R Chbeir, Y Cardinale - Future Generation Computer …, 2020 - Elsevier
Abstract Multimedia Sensor Networks (MSNs) have gained much attention in recent years from the emerging trends of Internet of Things (IoT). They can be found in different scenarios …
N Kolbe, S Kubler, J Robert, Y Le Traon… - ACM Computing …, 2019 - dl.acm.org
The Semantic Web emerged with the vision of eased integration of heterogeneous, distributed data on the Web. The approach fundamentally relies on the linkage between and …
As any resources, ontologies, thesaurus, vocabularies and terminologies need to be described with relevant metadata to facilitate their identification, selection and reuse. For …
Ontology matching is critical for data integration and interoperability. Original ontology matching approaches relied solely on the content of the ontologies to align. However, these …