Using semantic values to facilitate interoperability among heterogeneous information systems
ACM Transactions on Database Systems (TODS)
Combining Horn rules and description logics in CARIN
Artificial Intelligence
CAiSE ;96 Proceedings of the 8th International Conference on Advances Information System Engineering
Piazza: data management infrastructure for semantic web applications
WWW '03 Proceedings of the 12th international conference on World Wide Web
Description logics for databases
The description logic handbook
Relational.OWL: a data and schema representation format based on OWL
APCCM '05 Proceedings of the 2nd Asia-Pacific conference on Conceptual modelling - Volume 43
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Conjunctive query answering for the description logic SHIQ
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Combining OWL ontologies using E-Connections
Web Semantics: Science, Services and Agents on the World Wide Web
Using a semantically enhanced database for business service and process modelling and integration
International Journal of Intelligent Information and Database Systems
Ontologies versus relational databases: are they so different? A comparison
Artificial Intelligence Review
Bringing relational databases into the Semantic Web: A survey
Semantic Web - On real-time and ubiquitous social semantics
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One of the challenges of the Semantic Web is to integrate the huge amount of information already available on the standard Web, usually stored in relational databases. In this paper, we propose a formalization of a logic model of relational databases, and a transformation of that model into OWL, a Semantic Web language. This transformation is implemented in Cross, as an open-source prototype. We prove a relation between the notion of legal database state and the consistency of the corresponding OWL knowledge base. We then show how that transformation can prove useful to enhance databases, and integrate them in the Semantic Web.