Semantic Systems biology enables integrative biology via Semantic Web Technologies and includes integration of Ontologies into omics datasets, and development and application of innovative tools for working with semantically annotated large scale datasets, models and simulations. It includes the development and applications of terminologies and Ontologies for modeling simulations in computational biology and medicine.
The approaches comprises a cycle at which Experimentation leads to data generation. Information extraction techniques are used to Knowledge formalization into Knowledgebase. The knowledge base is undergoing consistency checking, querying, (Semi-)automated reasoning which leads to hypothesis formulation and experimental design [Antezana et al., Brief. in Bioinformatics 2009].