Edit Paper: From Relational Data to RDFS Models

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From Relational Data to RDFS Models
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Paper Title*:		Full title of the given paper
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Abstract:	A vast amount of information resources is stored as relational-like data and inaccessible to RDFS-based systems. We describe FDR2 – an approach to integration of relational-like information resources with RDFS-aware systems. The proposed solution is purely RDFS-based. We use RDF/S as a mechanism to specify and perform linking of relational data to a predefined domain ontology. The approach is transformation-free, this ensures that all the data is accessible and usable in consistence with the original data model.	Abstract of the paper.
Conclusion:	In this paper we have introduced FDR2 – a technique that enables us to link relational and RDF/S data models. According to FDR2 a relational schema is automatically created to explicate the structure and internal relationships between elements of a relational collection of data. Explication of virtual relations allows the user to construct a relational schema specific RDMap by defining relationships between concepts from the relational schema and a domain ontology. The actual relational data are automatically expressed in RDF according to the generated relational schema. Run-time integration is achieved by applying an RDFS reasoner to merge the above-mentioned components into a single RDFS model and to deduct necessary entailments. A resulting run-time model allows to access the relational data with queries termed according to the domain ontology. FDR2 is purely RDF/S-based and does not require any additional software components except an RDFS reasoner.
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Download-page:
Access API:
Information Representation:
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OS:
Vendor:		Organization: commercial, free or otherwise
Uses Framework:		Framework name
Documentation URL:		Link to Documentation webpage.
Programming Language:
Version:
Platform:
Toolbox:
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Subproblem of:		A broader research problem.
Related Problem:		A another research problem.
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Experiment setup:	No data available now.
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