Towards Semantic Integration of Heterogeneous Sensor Data with Indigenous Knowledge for Drought Forecasting

Author:

Akanbi Adeyinka K.1,Masinde Muthoni1

Affiliation:

1. Department of Information Technology, Central University of Technology, Free State, South Africa

Publisher

ACM

Reference21 articles.

1. OGC® Sensor Web Enablement: Overview and High Level Architecture

2. Sensor networks: Evolution, opportunities, and challenges

3. S. Christian. Event-driven middleware for body and ambient sensor applications. 2013. S. Christian. Event-driven middleware for body and ambient sensor applications. 2013.

4. A. Devaraju. Towards process-based ontology for representing dynamic geospatial phenomena. A. Devaraju. Towards process-based ontology for representing dynamic geospatial phenomena.

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1. A Scalable Semantic Framework for an Integrated Multi-Hazard Early Warning System;2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2023-08-03

2. Towards a Microservice-Based Middleware for a Multi-hazard Early Warning System;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

3. Integration of Indigenous Knowledge, Climate Data, Satellite Imagery and Machine Learning to Optimize Cropping Decisions by Small-Scale Farmers. a Case Study of uMgungundlovu District Municipality, South Africa;Innovations and Interdisciplinary Solutions for Underserved Areas;2020

4. Using Semantic Web for Internet of Things Interoperability;International Journal on Semantic Web and Information Systems;2018-10

5. A Framework for Accurate Drought Forecasting System Using Semantics-Based Data Integration Middleware;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2016

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