This book constitutes the refereed proceedings of the Third International Workshop on Data Integration in the Life Sciences, DILS 2006, held in Hinxton, UK in July 2006. Presents 19 revised full papers and 4 revised short papers together with 2 keynote talks, addressing current issues in data integration from the life science point of view. The papers are organized in topical sections on data integration, text mining, systems, and workflow.

Inhalt

Keynotes.- An Application Driven Perspective on Biological Data Integration.- Towards a National Healthcare Information Infrastructure.- Data Integration.- Data Access and Integration in the ISPIDER Proteomics Grid.- A Cell-Cycle Knowledge Integration Framework.- Link Discovery in Graphs Derived from Biological Databases.- Text Mining.- Towards an Automated Analysis of Biomedical Abstracts.- Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions.- SNP-Converter: An Ontology-Based Solution to Reconcile Heterogeneous SNP Descriptions for Pharmacogenomic Studies.- Systems I.- SABIO-RK: Integration and Curation of Reaction Kinetics Data.- SIBIOS Ontology: A Robust Package for the Integration and Pipelining of Bioinformatics Services.- Data Structures for Genome Annotation, Alternative Splicing, and Validation.- BioFuice: Mapping-Based Data Integration in Bioinformatics.- Potpourri.- A Method for Similarity-Based Grouping of Biological Data.- On Querying OBO Ontologies Using a DAG Pattern Query Language.- Using Term Lists and Inverted Files to Improve Search Speed for Metabolic Pathway Databases.- Systems II.- Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV.- The Distributed Annotation System for Integration of Biological Data.- An Information Management System for Collaboration Within Distributed Working Environment.- Short Papers.- Ontology Analysis on Complexity and Evolution Based on Conceptual Model.- Distributed Execution of Workflows in the INB.- Knowledge Networks of Biological and Medical Data: An Exhaustive and Flexible Solution to Model Life Science Domains.- On Characterising and Identifying Mismatches in Scientific Workflows.- Workflow.- Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data.- Towards a Model of Provenance and User Views in Scientific Workflows.- An Extensible Light-Weight XML-Based Monitoring System for Sequence Databases.