Affiliation:
1. Department of CS&IT Maulana Azad National Urdu University Hyderabad India
Abstract
SummaryIn recent years, the usage and applications of Internet of Things (IoT) have increased exponentially. IoT connects multiple heterogeneous devices like sensors, micro controllers, actuators, smart devices like mobiles, watches, etc. IoT contributes the data produced in the context of data collection, including the domains like military, agriculture, healthcare, etc. The diversity of possible applications at the intersection of the IoT and the web semantics has prompted many research teams to work at the interface between these two disciplines. This makes it possible to collect data and control various objects in transparent way. The challenge lies in the use of this data. Ontologies address this challenge to meet specific data needs in the IoT field. This paper presents the implementation of a dynamic agriculture ontology‐building tool that parses the ontology files to extract full data and update it based on the user needs. The technology is used to create the angular library for parsing the OWL files. The proposed ontology framework would accept user‐defined ontologies and provide an interface for an online updating of the owl files to ensure the interoperability in the agriculture IoT.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Cited by
1 articles.
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1. Quantum Machine Learning Techniques based on Nurturing Agri-Ontology Framework in Agricultural Science;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05