Difference between revisions of "From Relational Data to RDFS Models"
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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=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. | ||
| − | |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 | + | |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. | 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. | ||
|Future work=No data available now. | |Future work=No data available now. | ||
| − | | | + | |Problem=Transforming Relational Databases into Semantic Web |
| − | | | + | |Approach=integration of relational-like information resources with RDFS-aware systems |
| − | |Implementation= | + | |Implementation=FDR2 |
|Evaluation=No data available now. | |Evaluation=No data available now. | ||
|PositiveAspects=No data available now. | |PositiveAspects=No data available now. | ||
Latest revision as of 12:48, 5 July 2018
| From Relational Data to RDFS Models | |
|---|---|
From Relational Data to RDFS Models
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| Bibliographical Metadata | |
| Year: | 2004 |
| Authors: | Maksym Korotkiy, Jan L. Top |
| Venue | ICWE |
| Content Metadata | |
| Problem: | Transforming Relational Databases into Semantic Web |
| Approach: | integration of relational-like information resources with RDFS-aware systems |
| Implementation: | FDR2 |
| Evaluation: | No data available now. |
Contents
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.
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.
Future work
No data available now.
Approach
Positive Aspects: No data available now.
Negative Aspects: No data available now.
Limitations: No data available now.
Challenges: No data available now.
Proposes Algorithm: No data available now.
Methodology: No data available now.
Requirements: No data available now.
Limitations: No data available now.
Implementations
Download-page: No data available now.
Access API: No data available now.
Information Representation: No data available now.
Data Catalogue: {{{Catalogue}}}
Runs on OS: No data available now.
Vendor: No data available now.
Uses Framework: No data available now.
Has Documentation URL: No data available now.
Programming Language: No data available now.
Version: No data available now.
Platform: No data available now.
Toolbox: No data available now.
GUI: No
Research Problem
Subproblem of: No data available now.
RelatedProblem: No data available now.
Motivation: No data available now.
Evaluation
Experiment Setup: No data available now.
Evaluation Method : No data available now.
Hypothesis: No data available now.
Description: No data available now.
Dimensions: No data available now.
Benchmark used: No data available now.
Results: No data available now.
| Access API | No data available now. + |
| Event in series | ICWE + |
| Has Benchmark | No data available now. + |
| Has Challenges | No data available now. + |
| Has DataCatalouge | {{{Catalogue}}} + |
| Has Description | No data available now. + |
| Has Dimensions | No data available now. + |
| Has DocumentationURL | http://No data available now. + |
| Has Downloadpage | http://No data available now. + |
| Has Evaluation | No data available now. + |
| Has EvaluationMethod | No data available now. + |
| Has ExperimentSetup | No data available now. + |
| Has GUI | No + |
| Has Hypothesis | No data available now. + |
| Has Implementation | No data available now. + |
| Has InfoRepresentation | No data available now. + |
| Has Limitations | No data available now. + |
| Has NegativeAspects | No data available now. + |
| Has PositiveAspects | No data available now. + |
| Has Requirements | No data available now. + |
| Has Results | No data available now. + |
| Has Subproblem | No data available now. + |
| Has Version | No data available now. + |
| Has abstract | A vast amount of information resources is … 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. consistence with the original data model. + |
| Has approach | No data available now. + |
| Has authors | Maksym Korotkiy + and Jan L. Top + |
| Has conclusion | In this paper we have introduced FDR2 – a … 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. ftware components except an RDFS reasoner. + |
| Has future work | No data available now. + |
| Has motivation | No data available now. + |
| Has platform | No data available now. + |
| Has problem | No data available now. + |
| Has relatedProblem | No data available now. + |
| Has vendor | No data available now. + |
| Has year | 2004 + |
| ImplementedIn ProgLang | No data available now. + |
| Proposes Algorithm | No data available now. + |
| RunsOn OS | No data available now. + |
| Title | From Relational Data to RDFS Models + |
| Uses Framework | No data available now. + |
| Uses Methodology | No data available now. + |
| Uses Toolbox | No data available now. + |
