Author(s):
1. RAKI YOUNESS:
Hassan II University, Faculty of science Ben MSI’K, Mathematics and Computer science, Morocco
2. MARZAK ABDELAZIZ:
Hassan II University, Faculty of science Ben MSI’K, Mathematics and Computer science, Morocco
3. GHRAR ADIL:
Moulay Ismail University, Faculty of Letters and Human Sciences, Arabic Language and Literature:
Simolinguistic and Dialectic of Creativity and Criticism, Meknes, morocco
Abstract:
The analysis and processing of IoT data is related to its changing behavioral nature. Thus, describing the behavior of data to infer how it is presented can reduce the load on processing and analysis resources for more efficient performance. Therefore, the adoption of a particular technology has become an insufficient measure, which necessitates the transition to the mode of research in other related fields. In this paper, we present a conceptual metaphors (CMS) architecture to support the IoT data consistency process. This model aims to create metaphorical relationships between data that connect entities to describe and produce meaning, based on the study of the possibility of combining concepts of metaphor and semantic approach. It can provide suggestions on how to improve the use of resources as a service to deal with massive IoT data. Moreover, adopting this metaphorical mechanism can enable developers and designers to design and re-architecture adapted to the nature of this data. The results of the analytical study show that our proposed model has high descriptive features that make it more efficient than other existing models.
Page(s):
5244-5252
DOI:
DOI not available
Published:
Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 14, Year: 2022
Keywords:
Big Data
,
cloud
,
Sensors networking
,
Resources overload
,
IoTdata
,
conceptual metaphors
References:
References are not available for this document.
Citations
Citations are not available for this document.