Use of OWL and SWRL for Semantic Relational Database Translation

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.

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