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Semantic and syntactic interoperability for agricultural open-data platforms in the context of IoT using crop-specific trait ontologies

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Semantic and Syntactic Interoperability for Agricultural Open-Data Platforms in the Context of IoT Using Crop-Specific Trait Ontologies.pdf (5.846Mb)
Date
2020
Author
Aydın, Şahin
Aydın, Mehmet Nafiz
Abstract
In recent years, Internet-of-Things (IoT)-based applications have been used in various domains such as health, industry and agriculture. Considerable amounts of data in diverse formats are collected from wireless sensor networks (WSNs) integrated into IoT devices. Semantic interoperability of data gathered from IoT devices is generally being carried out using existing sensor ontologies. However, crop-specific trait ontologies-which include site-specific parameters concerning hazelnut as a particular agricultural product-can be used to make links between domain-specific variables and sensor measurement values as well. This research seeks to address how to use crop-specific trait ontologies for linking site-specific parameters to sensor measurement values. A data-integration approach for semantic and syntactic interoperability is proposed to achieve this objective. An open-data platform is developed and its usability is evaluated to justify the viability of the proposed approach. Furthermore, this research shows how to use web services and APIs to carry out the syntactic interoperability of sensor data in agriculture domain.

Source

Applied Sciences

Issue

13

Volume

10

URI

https://doi.org/10.3390/app10134460
https://hdl.handle.net/20.500.12469/3091

Collections

  • Araştırma Çıktıları / Scopus [1319]
  • Araştırma Çıktıları / WOS [1335]
  • Yönetim Bilişim Sistemleri / Management Information Systems [143]

Keywords

Agricultural open-data platforms
IoT data interoperability
Semantic interoperability
Sensor data integration
Syntactic interoperability

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DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV