Searching for "Data Integration in the Life Sciences" – sorted by Relevance.
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Article _____________________________ Recent trends in knowledge and data integration for the life
- Link architecture for integrating life science data. Applications connect to DiscoveryLink by using ODBC or JDBC
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Accessing BioDatabases with OGSA-DAI - A Performance Analysis
- in life sciences, the need for tools to access and integrate data coming from different data resources
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Almost) hands-off information integration for the life sciences
- research. 1 Introduction Data integration approaches in the life sciences can be classified into two broad
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Contents lists available at ScienceDirect Journal of Biomedical Informatics
- Life sciences Link Mashup RDF Semantics View integration Workflow Data integration is a perennial issue
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Citizenship/Visa: Romanian/F1 Research Interests � Machine Learning, Knowledge Discovery and Data
- Semantically Heterogeneous Biological Data Sources. In: Data Integration in Life Sciences (DILS 2005) Springer
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BioMediator Data Integration: Beyond Genomics to Neuroscience Data
- BioMediator an excellent tool for data integration in the life sciences. First, users can easily
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Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data
- between different data sources. In contrast, data integration in the life sciences often entails applying
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Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples
- on Data Integration in the Life Sciences (DILS 2005), La Jolla, July 20-22, 2005. ∗ Robert L. Grossman
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A User-centric Framework for Accessing Biological Sources and Tools
- Science, Volume 3615, Data Integration in the Life Sciences (DILS), 2005, pages 3-18. Publisher URL: http
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“A Veritable Bucket of Facts ” Origins of the Data Base Management System.................... 33
- on Data Integration in the Life Sciences (DILS’05) ........... 59 A. Gupta, B. Ludascher and L. Raschid
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