This work proposes an open interoperable data portal that offers access to a Web-wide climate domain knowledge graph created for Ireland and England's NOAA climate daily data. There are three main components contributing to this data portal: the first is the upper layer schema of the knowledge graph -- the climate analysis (CA) ontology -- the second is an ad hoc SPARQL server by which to store the graph data and provide public Web access, the last is a dereferencing engine deployed to resolve URIs for entity information. Our knowledge graph form of NOAA climate data facilitates the supply of semantic climate information to researchers and offers a variety of semantic applications that can be built on top of it.
@article{arxiv.2110.09797,
title = {An Interoperable Open Data Portal for Climate Analysis},
author = {Jiantao Wu and Huan Chen and Fabrizio Orlandi and Yee Hui Lee and Declan O'Sullivan and Soumyabrata Dev},
journal= {arXiv preprint arXiv:2110.09797},
year = {2021}
}
Comments
Accepted in Proc. IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2021