Data model and query evaluation in global information systems
Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
An empirical study of automated dictionary construction for information extraction in three domains
Artificial Intelligence - Special volume on empirical methods
A query language for a Web-site management system
ACM SIGMOD Record
Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
The object data standard: ODMG 3.0
The object data standard: ODMG 3.0
Distributed and Parallel Databases
Querying Documents using Content, Structure and Properties
Journal of Intelligent Information Systems
Fundamentals of Database Systems
Fundamentals of Database Systems
Don't Scrap It, Wrap It! A Wrapper Architecture for Legacy Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A schema-based approach to building a bioinformatics database federation
BIBE '00 Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering
K2/Kleisli and GUS: experiments in integrated access to genomic data sources
IBM Systems Journal - Deep computing for the life sciences
Transparent access to multiple bioinformatics information sources
IBM Systems Journal - Deep computing for the life sciences
CRYSTAL inducing a conceptual dictionary
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Rule responder HCLS eScience infrastructure
Proceedings of the 3rd International Conference on the Pragmatic Web: Innovating the Interactive Society
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Nowadays, biologists use a number of large biological databanks to find relevant information for their research. Users of these databanks face a number of problems. One problem is that users are required to have good knowledge about the contents, implementations and conceptual models of many databanks to be able to ask precise and relevant questions. Further, the terminology that is used in the different databanks may be different. Also, when asking complex queries to multiple databanks, users need to construct a query plan on their own possibly leading to poor performance or not even obtaining results. To alleviate these problems we define an architecture for systems that deal with these problems by allowing for a transparent and integrated way to query the multiple sources. The contribution of this paper is threefold. First, we describe a study of current biological databanks. Then, we propose a base query language that contains operators that should be present in any query language for biological databanks. Further, we present an architecture for a system supporting such a language and providing integrated access to the highly distributed and heterogeneous environment of biological databanks.