ARDI: automatic generation of RDFS models from heterogeneous data sources
Visualitza/Obre
Cita com:
hdl:2117/179803
Tipus de documentText en actes de congrés
Data publicació2019
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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Abstract
The current wealth of information, typically known as Big Data, generates a large amount of available data for organisations. Data Integration provides foundations to query disparate data sources as if they were integrated into a single source. However, current data integration tools are far from being useful for most organisations due to the heterogeneous nature of data sources, which represents a challenge for current frameworks. To enable data integration of highly heterogeneous and disparate data sources, this paper proposes a method to extract the schema from semi-structured (such as JSON and XML) and structured (such as relational) data sources, and generate an equivalent RDFS representation. The output of our method complements current frameworks and reduces the manual workload required to represent the input data sources in terms of the integration canonical data model. Our approach consists of production rules at the meta-model level that guarantee the correctness of the model translations. Finally, a tool for implementing our approach has been developed.
CitacióNigatu, S. [et al.]. ARDI: automatic generation of RDFS models from heterogeneous data sources. A: The Enterprise Computing Conference. "2019 IEEE 23rd International Enterprise Distributed Object Computing Conference, EDOC 2019: Paris, France, 28-31 October 2019: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 190-196.
ISBN978-1-7281-2702-6
Versió de l'editorhttps://ieeexplore.ieee.org/document/8945018
Col·leccions
- inSSIDE - integrated Software, Service, Information and Data Engineering - Ponències/Comunicacions de congressos [332]
- IMP - Information Modeling and Processing - Ponències/Comunicacions de congressos [99]
- Departament d'Enginyeria de Serveis i Sistemes d'Informació - Ponències/Comunicacions de congressos [529]
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