Climate change

Pure mathematics

Mathematics

Linked data

Biology

Data model (GIS)

Data mining

Epistemology

Philosophy

Climate model

Artificial intelligence

Semantic Web

Ecology

Ontology-based data integration

Information retrieval

Data science

Ontology

Computer science

SPARQL

Field (mathematics)

Data modeling

Data integration

Database

Recently ontologies have been exploited in a wide range of research areas for data modeling and data management. They greatly assists in defining the semantic model of the underlying data combined with domain knowledge. In this paper, we propose the Climate Analysis (CA) Ontology to model climate datasets used by remote sensing analysts. We use the data published by National Oceanic and Atmospheric Administration (NOAA) to further explore how ontology modeling can be used to facilitate the field of climatic data processing. The idea of this work is to convert relational climate data to the Resource Description Framework (RDF) data model, so that it can be stored in a graph database and easily accessed through the Web as Linked Data. Typically, this provides climate researchers, who are interested in datasets such as NOAA, with the potential of enriching and interlinking with other databases. As a result, our approach facilitates data integration and analysis of diverse climatic data sources and allows researchers to interrogate these sources directly on the Web using the standard SPARQL query language.

An Ontology Model for Climatic Data Analysis