Meteorological Data in Concept Based Semantic format Access through Thematic Environmental Distributed Data Server

Advancements in Meteorological Data Retrieval and Ontology Management

Authors

  • Lilly Florence M.
  • Swamydoss D.
  • Utkarsh .
  • Danish Hussain

Keywords:

meteorological data, concept-based semantic format, thematic environmental distributed data server, satellite data, sensor, latitude, longitude, data and time, ontological concepts, sub concepts, concept hierarchical queries, scientific horizon, application domain, thredds server, ontology management system

Abstract

Several satellite data receiving and distributing centers across the world support data storage, processing and retrieval based on satellite, sensor, product, latitude, longitude, data and time, tec. These systems address queries on satellite products that are mostly high level concepts. A more sophisticated retrieval system that supports ontological concepts, sub concepts and concept hierarchical queries delivers refined results that broaden the scientific horizon of the application domain. This paper deals about the meteorology data deployment in thredds server, ontology management system for meteorology data.

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Published

2019-06-01

How to Cite

[1]
“Meteorological Data in Concept Based Semantic format Access through Thematic Environmental Distributed Data Server: Advancements in Meteorological Data Retrieval and Ontology Management”, JASRAE, vol. 16, no. 8, pp. 99–104, Jun. 2019, Accessed: Jul. 05, 2024. [Online]. Available: https://ignited.in/jasrae/article/view/12133

How to Cite

[1]
“Meteorological Data in Concept Based Semantic format Access through Thematic Environmental Distributed Data Server: Advancements in Meteorological Data Retrieval and Ontology Management”, JASRAE, vol. 16, no. 8, pp. 99–104, Jun. 2019, Accessed: Jul. 05, 2024. [Online]. Available: https://ignited.in/jasrae/article/view/12133