Hanika CF, Sauerer D, Lenz R (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: Gesellschaft für Informatik
City/Town: Bonn
Conference Proceedings Title: P363 - BTW2025 - Datenbanksysteme für Business, Technologie und Web - Workshopband
DOI: 10.18420/BTW2025-117
Ontologies are powerful tools for structuring and formalizing knowledge and enabling interoperability. They play a crucial 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 ontologies. However, the data needs for local use cases might not readily fit into these domain ontologies without further adaptation. As a consequence, researchers often refrain from reusing the ontologies and collect their local data on an ad hoc basis using improvised schemas. We surveyed current approaches to ontology-based data acquisition, revealing that while some methods exist for generating forms from ontologies, there are currently no significant approaches that enable researchers to customize these ontologies to fit their individual needs. To address this gap, we developed a prototype aimed at exploring the challenges of adapting ontologies for specific use cases. Our form-based approach empowers researchers to reuse ontologies without requiring substantial expertise in ontology engineering. This 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.
APA:
Hanika, C.F., Sauerer, D., & Lenz, R. (2025). ODDA: Ontology-Driven Data Acquisition. In P363 - BTW2025 - Datenbanksysteme für Business, Technologie und Web - Workshopband. Bonn: Gesellschaft für Informatik.
MLA:
Hanika, Caspar Felix, Dominik Sauerer, and Richard Lenz. "ODDA: Ontology-Driven Data Acquisition." Proceedings of the P363 - BTW2025 - Datenbanksysteme für Business, Technologie und Web Bonn: Gesellschaft für Informatik, 2025.
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