Data Integration in the Life Sciences: 7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010. Proceedings

Author:   Patrick Lambrix ,  Graham Kemp
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Volume:   6254
ISBN:  

9783642151194


Pages:   215
Publication Date:   11 August 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Data Integration in the Life Sciences: 7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010. Proceedings


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Author:   Patrick Lambrix ,  Graham Kemp
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Volume:   6254
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.10cm
Weight:   0.352kg
ISBN:  

9783642151194


ISBN 10:   3642151191
Pages:   215
Publication Date:   11 August 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Invited Talks.- Provenance Management for Data Exploration.- High-Performance Systems for in Silico Microscopy Imaging Studies.- Ontology Engineering.- Discovering Evolving Regions in Life Science Ontologies.- On Matching Large Life Science Ontologies in Parallel.- A System for Debugging Missing Is-a Structure in Networked Ontologies.- Web Services.- On the Secure Sharing and Aggregation of Data to Support Systems Biology Research.- Helping Biologists Effectively Build Workflows, without Programming.- A Data Warehouse Approach to Semantic Integration of Pseudomonas Data.- Data Mining and Text Mining.- The Cinderella of Biological Data Integration: Addressing Some of the Challenges of Entity and Relationship Mining from Patent Sources.- Algorithm for Grounding Mutation Mentions from Text to Protein Sequences.- Handling Missing Features with Boosting Algorithms for Protein–Protein Interaction Prediction.- Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration.- Information Management.- Integrative Information Management for Systems Biology.- An Integration Architecture Designed to Deal with the Issues of Biological Scope, Scale and Complexity.- Quality Assessment of MAGE-ML Genomic Datasets Using DescribeX.- Search Computing: Integrating Ranked Data in the Life Sciences.

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