SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Semantic integration of semistructured and structured data sources
ACM SIGMOD Record
Semantic integration of heterogeneous information sources
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Description logics for semantic query optimization in object-oriented database systems
ACM Transactions on Database Systems (TODS)
Synthesizing an Integrated Ontology
IEEE Internet Computing
DiscoveryLink: a system for integrated access to life sciences data sources
IBM Systems Journal - Deep computing for the life sciences
K2/Kleisli and GUS: experiments in integrated access to genomic data sources
IBM Systems Journal - Deep computing for the life sciences
Completeness of integrated information sources
Information Systems - Special issue: Data quality in cooperative information systems
Integration of biological sources: current systems and challenges ahead
ACM SIGMOD Record
Data integration: the teenage years
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Extracting Relevant Attribute Values for Improved Search
IEEE Internet Computing
Virtual integration of existing web databases for the genotypic selection of cereal cultivars
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
Hi-index | 0.00 |
We describe the development of the CEREALAB ontology, an ontology of molecular and phenotypic cereals data, that allows identifying the correlation between the phenotype of a plant with its molecular data. It is realised by integrating public web databases with the database developed by the research group of the CEREALAB laboratory. Integration is obtained semi-automatically by using the Mediator envirOnment for Multiple Information Sources (MOMIS) system, a data integration system developed by the Database Group of the University of Modena and Reggio Emilia, and allows querying the integrated data sources regardless of the specific languages of the source databases.