Use of OWL and SWRL for Semantic Relational Database Translation

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Use of OWL and SWRL for Semantic Relational Database Translation
Use of OWL and SWRL for Semantic Relational Database Translation
Bibliographical Metadata
Subject: Ontology Mapping
Keywords: Semantic, Database, Mapping, OWL, SWRL
Year: 2008
Authors: Matthew Fisher, Mike Dean, Greg Joiner
Venue OWLED
Content Metadata
Problem: Transforming Relational Databases into Semantic Web
Approach: No data available now.
Implementation: Automapper
Evaluation: No data available now.

Abstract

General purpose query interfaces to relational databases can expose vast amounts of content to the Semantic Web. In this paper, we discuss Automapper, a tool that automatically generates data source and mapping ontologies using OWL and SWRL. We also describe the use of these ontologies in our Semantic Distributed Query architecture, an implementation for mapping RDF queries to disparate data sources, including SQL-compliant databases, using SPARQL as the query language. This paper covers Automapper functionality that exploits some of the expressiveness of OWL to produce more accurate translations. A comparison with related work on Semantic Web access to relational databases is also provided as well as an investigation into the use of OWL 1.1.

Conclusion

We are currently applying Automapper's approach to other Semantic Bridges. Specifically, we are exploring its use for both SOAP and RESTful services in our Semantic Bridge for Web Services (SBWS).

Future work

Currently, URIs returned by SBRD are unique but generally not resolvable. We intend to address this issue in future versions by generating resolvable URIs and incorporating the best practices of the Linking Open Data initiative. To the best of our knowledge, we believe that our rules and their usage are consistent with the design goals of the DL Safe SWRL Rules task force4. Decidability is a critical aspect of our architecture and is therefore focused on features such as the use of Horn rules with unary and binary predicates. We will continue to monitor the task force’s progress and incorporate necessary modifications. The advantages of SWRL built-ins have also proven essential. It is our hope that they are addressed in the DL Safe task force and will be comparable to the built-ins provided by SWRL.

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 APINo data available now. +
Event in seriesOWLED +
Has BenchmarkNo data available now. +
Has ChallengesNo data available now. +
Has DataCatalouge{{{Catalogue}}} +
Has DescriptionNo data available now. +
Has DimensionsNo data available now. +
Has DocumentationURLhttp://No data available now. +
Has Downloadpagehttp://No data available now. +
Has EvaluationNo data available now. +
Has EvaluationMethodNo data available now. +
Has ExperimentSetupNo data available now. +
Has GUINo +
Has HypothesisNo data available now. +
Has ImplementationAutomapper +
Has InfoRepresentationNo data available now. +
Has LimitationsNo data available now. +
Has NegativeAspectsNo data available now. +
Has PositiveAspectsNo data available now. +
Has RequirementsNo data available now. +
Has ResultsNo data available now. +
Has SubproblemNo data available now. +
Has VersionNo data available now. +
Has abstractGeneral purpose query interfaces to relati
General purpose query interfaces to relational databases can expose vast amounts of content to the Semantic Web. In this paper, we discuss Automapper, a tool that automatically generates data source and mapping ontologies using OWL and SWRL. We also describe the use of these ontologies in our Semantic Distributed Query architecture, an implementation for mapping RDF queries to disparate data sources, including SQL-compliant databases, using SPARQL as the query language. This paper covers Automapper functionality that exploits some of the expressiveness of OWL to produce more accurate translations. A comparison with related work on Semantic Web access to relational databases is also provided as well as an investigation into the use of OWL 1.1.
an investigation into the use of OWL 1.1. +
Has approachNo data available now. +
Has authorsMatthew Fisher +, Mike Dean + and Greg Joiner +
Has conclusionWe are currently applying Automapper's approach to other Semantic Bridges. Specifically, we are exploring its use for both SOAP and RESTful services in our Semantic Bridge for Web Services (SBWS). +
Has future workCurrently, URIs returned by SBRD are uniqu
Currently, URIs returned by SBRD are unique but generally not resolvable. We intend to address this issue in future versions by generating resolvable URIs and incorporating the best practices of the Linking Open Data initiative. To the best of our knowledge, we believe that our rules and their usage are consistent with the design goals of the DL Safe SWRL Rules task force4. Decidability is a critical aspect of our architecture and is therefore focused on features such as the use of Horn rules with unary and binary predicates. We will continue to monitor the task force’s progress and incorporate necessary modifications. The advantages of SWRL built-ins have also proven essential. It is our hope that they are addressed in the DL Safe task force and will be comparable to the built-ins provided by SWRL.
parable to the built-ins provided by SWRL. +
Has keywordsSemantic, Database, Mapping, OWL, SWRL +
Has motivationNo data available now. +
Has platformNo data available now. +
Has problemTransforming Relational Databases into Semantic Web +
Has relatedProblemNo data available now. +
Has subjectOntology Mapping +
Has vendorNo data available now. +
Has year2008 +
ImplementedIn ProgLangNo data available now. +
Proposes AlgorithmNo data available now. +
RunsOn OSNo data available now. +
TitleUse of OWL and SWRL for Semantic Relational Database Translation +
Uses FrameworkNo data available now. +
Uses MethodologyNo data available now. +
Uses ToolboxNo data available now. +