Outline

Title:

Interconnecting Arctic observatory data through machine-actionable knowledge representation: are ontologies fit for purpose?

Introduction

Rapid effects of climate change on Polar systems

Polar ocean observatories and marine monitoring programs

UN sustainability development goals in response to climate change

The effects of climate change are hardest felt by indigenous people and the global precariat subsiding via land and ocean subsistence farming and fishing.

Linking earth science data initiatives such ESIP Open knowledge network to the UN SDGIO's

There exist a variety of earth and life science initiatives attempting to capture and represent the knoledge 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.

Ontologies and the OBO Foundry

Ontology, a human and machine readable semantic representation of domain knowledge ...

SDGIO is an OBO compliant ontology

ENVO for representing environmental semantics.

competency questions:

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 environment X?

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?

experiments to test knowledge model against competency questions.

Materials and Methods

Results

Conclusions