Graph Algorithms for Functional Dependency Manipulation
Journal of the ACM (JACM)
Data modelling versus ontology engineering
ACM SIGMOD Record
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
OntoQuest: exploring ontological data made easy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
ACM Transactions on Database Systems (TODS)
Supporting ontology-based semantic matching in RDBMS
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Automating multidimensional design from ontologies
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Self-tuning database systems: a decade of progress
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
ECSA '08 Proceedings of the 2nd European conference on Software Architecture
DLDB2: A Scalable Multi-perspective Semantic Web Repository
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Data Warehouse Design: Modern Principles and Methodologies
Data Warehouse Design: Modern Principles and Methodologies
Discovering functional dependencies for multidimensional design
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
OntoDB: an ontology-based database for data intensive applications
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Querying ontology based database using OntoQL (an ontology query language)
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Multidimensional integrated ontologies: a framework for designing semantic data warehouses
Journal on Data Semantics XIII
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Recently, an important number of applications are producing and manipulating mountains of ontological data. Managing them efficiently needs the development of scalable solutions. Ontology-based databases (OBDB) are one of these solutions. An OBDB stores both ontological data and the ontology describing their meanings in the same repository. Several architectures supporting these OBDB were proposed by academicians and industrial editors of DBMS. Unfortunately, there is no available methodology for designing such OBDB. To overcome this limitation, this paper proposes to scale up the traditional database design approaches to OBDB. Our approach covers both conceptual and logical modeling phases. It assumes the availability of a domain ontology composed by primitive (canonical) and defined (non-canonical) concepts. Dependencies among properties and classes are captured and exploited to define a normalized logical model. A prototype implementing our design methodology on the OBDB OntoDB is outlined.