Data Integration in the Life Sciences: First International Workshop, DILS 2004, Leipzig, Germany, March 25-26, 2004, proceedings / Edition 1

by Erhard Rahm

Overview

This book constitutes the refereed proceedings of the First International Workshop on Data Integration in the Life Sciences, DILS 2004, held in Leipzig, Germany, in March 2004.

The 13 revised full papers and 2 revised short papers presented were carefully reviewed and selected from many submissions. The papers are organized in topical sections on scientific and clinical workflows, ontologies and taxonomies, indexing and clustering, integration tools and systems, and integration techniques.

Product Details

ISBN-13:	9783540213000
Publisher:	Springer Berlin Heidelberg
Publication date:	04/28/2004
Series:	Lecture Notes in Computer Science , #2994
Edition description:	2004
Pages:	226
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

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.