Abstract
In this paper we present an ontological approach to build a knowledge-base on climate change related facts. Our knowledge space, developed in Ontology Web Language (OWL), enables knowledge within the Semantic Web. It allows a dynamic classification and a semantic characterization of the different events that can be related to each other, as well as to external sources of information. The resulting ontology is structured as a timeline which aims to describe the climate change story from multiple perspectives, including scientific, social, political and technological ones. We have created an instance of the ontology as an attempt to tell the climate change story so far. Such a population is based on the collection of factual information and critical literature review, with a focus on relevant theories, happenings, social and political initiatives.
Highlights
Climate change is a threat to all lives on Earth, yet very little is being done to address the issue at hand
We have created an instance of the ontology based on critical literature review and on the collection of factual information from relevant sources as an attempt the tell the story so far with a focus on most relevant theories, happenings, social and political initiatives
The ontology proposed in this paper aims to build a climate change timeline by adopting an approach which is agnostic with respect to the domain vocabulary
Summary
We have created an instance of the ontology based on critical literature review and on the collection of factual information from relevant sources as an attempt the tell the story so far with a focus on most relevant theories, happenings, social and political initiatives. Such a data infrastructure is significantly more consistent than a simple specification of ordered facts. The proposed ontological approach focuses on the backbone of the semantic structure, namely on the systematic definition and integration of climate change related facts as part of a unique knowledge base Such approach is agnostic with respect to the domain vocabulary. The paper ends with a conclusion section, which addresses potential future work
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