An Ontology Model for Climatic Data Analysis

LinkClimate: An interoperable knowledge graph platform for climate data

“…climate observations), SSN (the Semantic Sensor Networks) (Haller et al, 2019) and SOSA (Sensor, Observation, Sample, and Actuator) (Janowicz et al, 2019) ontologies are widely employed by scholars as the basic semantics to create domain-specific KGs and for defining and representing data. For example, in our previous work we have proposed the Climate Analysis (CA) ontology (Wu et al, 2021d), an extension of the SOSA ontology by adding adaptable and concrete meteorological and geographic elements associated terms designed to semantically represent tabular NOAA climate data. In this work, we enhance the CA ontology with additional vocabularies (see Section 3.2.2) to further support the flexible API-based NOAA climate data which will be used to create a climate KG able update with dynamic NOAA climate data.…”

A semantic web approach to uplift decentralized household energy data

“…climate domain), which has received less attention from other researchers. To complete the climatic impacts modeling portion of our model, we also referred to Wu's [40] ontology CA and Janowicz's [41] ontology SOSA in order to describe the climatic sensor data.…”

“…Link-climate 4 is a climate observation knowledge graph (KG) that adheres to the concepts of Linked Data (details are provided in Section 3.2) [40]. It offers NOAA Climate Online Data 5 recorded by stations located in many European nations and cities (including Konstanz) through a Linked Data portal.…”

“…This will provide additional information that will aid in the comprehension of household energy use and production. To enable semantic integration of meteorological data into the energy network, we add a new term "retrieveWeatherFrom" to the CA ontology [40] (the ontology established in Section 3.1.2 for linked climate data). As stated in Section 3.1.2, the meteorological data utilized for modeling purposes comes from our publicly available linked climate data.…”

Boosting Climate Analysis With Semantically Uplifted Knowledge Graphs

“…Numerous research works have utilized semantic technologies to mitigate the data isolation problem in the climate domain. For instance, Wu et al [2] propose CA ontology for transforming CSV-formatted NOAA 4 climate sensor observations into RDF-formatted data that are then stored in their climate KG-Link-Climate [3]-which are utilized to provide the different linked data sources of climate data to climate communities. Pileggi developed a knowledge base of climate-change-related facts organized chronologically using their CCTL ontology [4].…”