Data Integration in the Life Sciences: First International Workshop, DILS 2004, Leipzig, Germany, March 25-26, 2004, proceedings: Lecture Notes in Computer Science, cartea 2994
Editat de Erhard Rahmen Limba Engleză Paperback – 18 mar 2004
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Specificații
ISBN-13: 9783540213000
ISBN-10: 3540213007
Pagini: 236
Ilustrații: CCXXXVI, 226 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.34 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540213007
Pagini: 236
Ilustrații: CCXXXVI, 226 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.34 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Scientific and Clinical Workflows.- An Ontology-Driven Framework for Data Transformation in Scientific Workflows.- PROVA: Rule-Based Java-Scripting for a Bioinformatics Semantic Web.- Process Based Data Logistics: a Solution for Clinical Integration Problems.- Ontologies and Taxonomies.- Domain-Specific Concepts and Ontological Reduction within a Data Dictionary Framework.- A Universal Character Model and Ontology of Defined Terms for Taxonomic Description.- On the Application of Formal Principles to Life Science Data: a Case Study in the Gene Ontology.- Indexing and Clustering.- Index-Driven XML Data Integration to Support Functional Genomics.- Heterogeneous Data Integration with the Consensus Clustering Formalism.- Integration Tools and Systems.- LinkSuiteTM: Formally Robust Ontology-Based Data and Information Integration.- BioDataServer: an Applied Molecular Biological Data Integration Service.- Columba: Multidimensional Data Integration of Protein Annotations.- Integration Techniques.- On the Integration of a Large Number of Life Science Web Databases.- Efficient Techniques to Explore and Rank Paths in Life Science Data Sources.- Links and Paths through Life Sciences Data Sources.- Pathway and Protein Interaction Data: from XML to FDM Database.
Caracteristici
Includes supplementary material: sn.pub/extras