Climate Data Literature Ontology

Identifying climate data used in scientific publications for Temple University

Built by 1 person (Team 22) · June 2024 · AI Knowledge

What it does

The project creates a Climate Data Literature Ontology that identifies which datasets are used in scientific text. The system obtains publication metadata to map the relationship between climate research literature and the underlying data sources referenced in academic papers.

How we built it

The team developed an ontology to structure climate data references and built methods to identify dataset usage within scientific text. The approach involved extracting publication metadata to create connections between research articles and climate datasets.

Impact

Temple University benefits from this work. The ontology helps researchers understand which climate datasets are cited in scientific literature, supporting climate research discovery and data provenance tracking.

Questions and answers

What does this project do?

It creates an ontology that identifies which climate datasets are used in scientific publications and extracts publication metadata.

Who is this for?

Temple University is the beneficiary of this project.

What challenge did the team participate in?

The team participated in the Hack Climate Models challenge.

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