We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAML+OIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS (MS Access) and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAML+OIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage.
%0 Journal Article
%1 citeulike:798231
%A Pan, Zhengxiang
%A Heflin, Jeff
%D 2004
%K dbowl minor reasoning soeren unprinted
%T DLDB: Extending Relational Databases to Support Semantic Web Queries
%X We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAML+OIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS (MS Access) and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAML+OIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage.
@article{citeulike:798231,
abstract = {We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAML+OIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS (MS Access) and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAML+OIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage.},
added-at = {2008-03-07T15:35:27.000+0100},
author = {Pan, Zhengxiang and Heflin, Jeff},
biburl = {https://www.bibsonomy.org/bibtex/2cdc35cd5b5097320515b9e8be0e897fb/sebastian},
citeulike-article-id = {798231},
institution = {Technical Report LU-CSE-04-006},
interhash = {4dcb7fe705614f354c459da6ee6c4994},
intrahash = {cdc35cd5b5097320515b9e8be0e897fb},
keywords = {dbowl minor reasoning soeren unprinted},
organization = {Dept. of Computer Science and Engineering, Lehigh University},
priority = {2},
timestamp = {2008-04-17T14:36:14.000+0200},
title = {DLDB: Extending Relational Databases to Support Semantic Web Queries},
year = 2004
}