Ontology-driven data acquisition (ODDA)
Internally funded project
Acronym: ODDA
Start date : 01.08.2024
End date : 31.07.2030
Website: https://www.cs6.tf.fau.de/faudir/caspar-felix-hanika/
Project details
Scientific Abstract
Ontologies are powerful tools for structuring and formalizing knowledge and enabling interoperability. They play a crucial role in research data management by making data machine-interpretable and facilitating the integration of diverse datasets from various researchers. Ideally, the integrated datasets contribute to global use cases aimed at inferring new knowledge.
To achieve this, it is essential that researchers align the data collected for their local use cases with existing domain or application ontologies. However, the data needs for local use cases might not readily fit into these reference ontologies without further adaptation. As a consequence, researchers often refrain from reusing existing ontologies and collect their local data on an ad hoc basis using improvised schemas.
To address this gap, my approach aims to empower researchers to reuse ontologies without requiring substantial expertise in ontology engineering. A form-based prototype allows researchers to define ontology-based data-collection forms tailored to their specific needs, ultimately generating ontology-compliant knowledge graphs from the collected data.
