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SSDBM '00 Proceedings of the 12th International Conference on Scientific and Statistical Database Management
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ICDE '04 Proceedings of the 20th International Conference on Data Engineering
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IBM Systems Journal - Deep computing for the life sciences
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Proceedings of the 43rd annual Southeast regional conference - Volume 1
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GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
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DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
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DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
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DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
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This paper surveys the area of biological and genomic sources integration, which has recently become a major focus of the data integration research field. The challenges that an integration system for biological sources must face are due to several factors such as the variety and amount of data available, the representational heterogeneity of the data in the different sources, and the autonomy and differing capabilities of the sources. This survey describes the main integration approaches that have been adopted. They include warehouse integration, mediator-based integration, and navigational integration. Then we look at the four major existing integration systems that have been developed for the biological domain: SRS, BioKleisli, TAMBIS, and DiscoveryLink. After analyzing these systems and mentioning a few others, we identify the pros and cons of the current approaches and systems and discuss what an integration system for biologists ought to be.