-
Notifications
You must be signed in to change notification settings - Fork 0
Outline
Interconnecting Arctic observatory data through machine-actionable knowledge representation: are ontologies fit for purpose?
Anthropogenic green house gas emissions are leading to increased climate change and weather extremes.
At the forefront of climate change affected environments are polar habitats.
Polar marine monitoring initiatives such as FRAM ... are working to gauge the effects of climate change on such rapidly changing environments.
The effects of increased climate change and extreme weather events are hardest felt by indigenous people and the global precariat subsiding via land and ocean subsistence farming and fishing.
The UN framework for SDG's have setup targets for improvements to many global issues such as UN SDG 14 for ocean health.
There exist a variety of earth and life science initiatives attempting to capture and represent the knowledge associated with environmental data. ...
The knowledge required to interface the concepts needed for the Sustainable development goals are represented in a machine operable form via the SDGIO sustainable development goals interface ontology.
Ontology, a human and machine readable semantic representation of domain knowledge ...
In order to leverage growing data and knowledge representation semantic infrastructure we test if a semantic knowledge web represented by an ontologies can be used in combination with AWI data to address competency questions such as:
What metabolic functions can be assigned with an environment such as a polar ice sheet?
What data do we have that can access the the natural capital of sea ice?
What ecosystem services can be performed by sea ice?
What do changes in ecosystem services provided by sea ice imply for indigenous populations in the Arctic?
What can be bioprospected for in the deep sea?
What Polar ecosystem services may be affected by marine litter?