Query reformulation for dynamic information integration
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Distributed and Parallel Databases
Query Processing in the TAMBIS Bioinformatics Source Integration System
SSDBM '99 Proceedings of the 11th International Conference on Scientific and Statistical Database Management
A Semantics Based Interactive Query Formulation Technique
UIDIS '01 Proceedings of the Second International Workshop on User Interfaces to Data Intensive Systems (UIDIS'01)
Description logics for databases
The description logic handbook
MDDQL-Stat: Data Querying and Analysis through Integration of Intentional and Extensional Semantics
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Mapping between Relational Database Schema and OWL Ontology for Deep Annotation
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Query-by-example: the invocation and definition of tables and forms
VLDB '75 Proceedings of the 1st International Conference on Very Large Data Bases
The Requirements for Ontologies in Medical Data Integration: A Case Study
IDEAS '07 Proceedings of the 11th International Database Engineering and Applications Symposium
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Query processing using ontologies
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
| Hi-index | 0.00 |
In recent years, the tremendous increase in the use of medical knowledge-discovery and decision-support applications has often required clinical researchers to write complex database queries. The users of these data analysis systems are normally unaware of the semantic relationships between the concepts stored in a database. In order to provide automated query formulation services, some mechanism for generating queries is required. In this regard, as reported in [1], domain ontologies can be used to formulate relational database queries in order to simplify the data access of the underlying data sources. However, the provision of such a query generation facility requires managing complex mappings between domain ontologies and relational data sources. In this regard, this paper discusses our approach to define mappings between domain ontologies and database schemas to support the ontology assisted relational query formulation process. This approach has been applied to the integrated medical database schema of the EU funded Health-e-Child (HeC) project.