# Fairness Dataset Ontology (FDO) Overview

Based on the provided content, here's what can be determined about the FDO schema:

## Core Purpose
The ontology aims to "describe the datasets related to a domain and/or used to achieve a task," along with associated resources and task-related schemas.

## Technical Structure

**Available Serialization Formats:**
- JSON-LD
- RDF/XML
- N-Triples
- Turtle (TTL)

**Imported Vocabularies:**
The schema integrates four existing ontologies to establish its foundation:
- FABIO (bibliographic framework)
- FRBR (functional requirements for bibliographic records)
- DCAT (data catalog vocabulary)
- Dublin Core Terms (metadata standards)

## Authorship & Institution
All four creators—Alberto Piva, Alessandro Fabris, Gianmaria Silvello, and Gian Antonio Susto—are affiliated with the University of Padua. The schema was published in December 2022.

## Key Focus Areas
While detailed specifications require accessing the full ontology files, FDO focuses on:
- Describing datasets used for fairness research
- Documenting sensitive attributes
- Capturing fairness-related tasks and objectives
- Tracking dataset provenance and relationships
