Call for Paper

Life science data modelling
Big data infrastructure
Data integration systems
Data models and standards
Ontology and its evolution
Architectures and data management techniques
Analyzing, indexing, and querying life sciences datasets
Linked open data
Machine learning
Query formulation, processing and optimization
Annotating, matching, and sharing life sciences datasets
Data annotation and maintenance
Ontology and schema matching