Towards a Framework for Ontology-Based Data Access: Materialization of OWL Ontologies From Relational Databases
The landscape of information systems applications is comprised of legacy components that many times rely on heterogeneous data sources, proprietary data formats, and a low-level knowledge representation. Only seasoned programmers who maintain those systems may interpret these data. Ontology-based Da...
Guardado en:
| Autores principales: | , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/73556 |
| Aporte de: |
| Sumario: | The landscape of information systems applications is comprised of legacy components that many times rely on heterogeneous data sources, proprietary data formats, and a low-level knowledge representation. Only seasoned programmers who maintain those systems may interpret these data. Ontology-based Data Access is a novel approach for developing information systems where an ontology defines a high-level global schema of already existing data sources and provides a vocabulary for user queries. In this work, we report on the construction of a system that exports such data, represented as a legacy relational database, as an OWL ontology in accordance to the W3C Direct Mapping specification. We discuss several case studies that show how the proposed application works. |
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